Vendor Landscape: Security Information – Event Management #siem #vendors, #ibm|hp|collection|splunk|mcafee|sim|security #incident #management|security


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Vendor Landscape: Security Information Event Management

Your Challenge

  • In the face of increasing regulatory pressures and headline-grabbing hacking activities, enterprises are deploying an ever increasing volume of dedicated security tools. As a result they are drowning in log and alert data to the point where the tools inhibit their own value.
  • Implementing SIEM allows enterprises to manage and respond to an ever-widening range of threats and compliance requirements by consolidating, aggregating, correlating, and reporting on security events. Taking action based on correlated data is accelerated, and detailed reporting supports obligations to demonstrate the specific measures the enterprise is taking to be compliant.
  • Getting a strong product evaluation allows organizations to enhance enterprise security at a manageable cost. Making the wrong choice could mean higher costs, lower security, or both.

Our Advice

Critical Insight

  • The SIEM market is undergoing rapid developments. In existence for just over a decade, the market is still maturing and product sets continue to be rationalized. Market consolidation is constantly occurring with large security vendors purchasing smaller dedicated SIEM vendors. The threat and regulatory landscape is making SIEM a more and more attractive technology for security firms and customers. Major leaps are being made in advanced capabilities as specialized correlation and analytic features are commercialized.
  • At first glance a SIEM may cause a panic attack. It will highlight various threats, risks, and vulnerabilities you may have not known about. Stay calm and realize the technology is providing a greater visibility into your organization’s security standing.
  • Various deployment and management options are making SIEM technology available to all levels of security organizations. Near full out-of-the-box solutions are being used by smaller organizations. Managed security service provider (MSSP) offerings are appearing, and can reduce the ongoing costs to a manageable level. High-demand organizations are using SIEM to augment their security operations command with as many as five full-time equivalents (FTEs) monitoring and managing the system to responds to threats in real time.

Impact and Result

  • Understand what’s new in the SIEM market and where it’s heading.
  • Develop a strong understanding of the top SIEM vendors and their offerings to identify a best-fit product for your organization.
  • Cultivate vendor management tactics through a tailored request for proposal and a demo script in order to get the features and functionality you need for either security management, compliance adherence, or overall risk reduction.


SAP Cloud Computing #sap #cloud #computing, #sap #cloud #computing #solution, #sap #cloud


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MS in Business Analytics – Wake Forest University School of Business #web


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Resources

MS in Business Analytics

Start Your Career in the High-Demand Field of Business Analytics

Opportunities in the field of business analytics have exploded as major organizations have adopted data-driven and technology-focused strategies across nearly every industry. In the Wake Forest Master of Science in Business Analytics (MSBA) program, you will learn advanced methodologies to apply analytics to business challenges across a range of functions, including finance, marketing, operations and human resources. You will also learn the language of business and how to work successfully in teams while effectively communicating the results of your analysis. Bottom line – we develop problem solvers that can take data from insight to impact, and can add value to any organization from day one.

Program Highlights include:


Differentiate yourself by building stronger communication, team work and leadership skills, and an understanding of the responsible and ethical use of data for making better decisions.


Emphasis on training across the full spectrum of analytics methodologies with strong business knowledge from innovative courses such as Business Metrics and Analytics in the Boardroom.

The Wake Forest School of Business has designed the MSBA program with the input of our corporate partners to meet their industry needs. Their feedback is clear we need performance-ready analysts who demonstrate business knowledge and exceptional communication skills.

Graduates of the Wake Forest MSBA program will be equipped with marketable skills valued by top employers:

  • Ability to identify and define business problems that can be resolved through the use of data and analytics
  • Knowledge to determine the proper analytical methodology to address current business challenges
  • Expertise to properly conduct valuable analyses with a thorough understanding of the methodology and assumptions
  • Confidence and ability to effectively communicate the results of those analyses to all stakeholders

Eligibility

To be eligible for the MSBA program, you must hold or be pursuing a bachelor’s degree in business, engineering, mathematics, economics, computer science or liberal arts. Successful completion of coursework in calculus and statistics is required. Our program is designed for recent college graduates with limited or no full-time, post-graduate work experience.

STEM/OPT Certified

The Wake Forest MSBA program is STEM and OPT certified, providing enhanced employment opportunities for international students. The STEM and OPT certifications can allow students to work for nearly 2.5 years in the U.S. while working with companies to obtain a work visa. Optional Practical Training (OPT) is a period during which undergraduate and graduate students with F-1 Visa status who have completed or have been pursuing their degrees for more than nine months are permitted to work for one year in the U.S. on a student visa with the goal of gaining practical training to complement their education. STEM Certification allows a 17-month extension of the post-completion OPT, and is available to graduates of the Wake Forest MSBA program.

International students always have the option to use their training to pursue career opportunities within their home countries, or find U.S. companies seeking to fill positions overseas with MSBA graduates. The Wake Forest Market Readiness Employment Center is available to all MSBA students to help define career objectives, improve interviewing skills and explore opportunities to launch the career you want.


Cyber Security Europe 2017 – Cyber Security Europe #ip #expo, #ip #expo


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Securing the Digital Enterprise

Global Head of Security Research

James Lyne is global head of security research at the security firm Sophos. He is a self-professed ‘massive geek’ and has technical expertise spanning a variety of the security domains from forensics to offensive security. Lyne has worked with many organisations on security strategy, handled a number of severe incidents and is a frequent industry advisor. He is a certified instructor at the SANS institute and often a headline presenter at industry conferences.

Lyne is a big believer that one of the biggest problems of security is making it accessible and interesting to those outside the security industry. As a result, he takes every opportunity to educate on security threats and best practice always featuring live demonstrations and showing how the cyber criminals do it.

Lyne has given multiple TED talks, including at the main TED event. He’s also appeared on a long list of national TV programs to educate the public including CNN, NBC, BBC News and Bill Maher.

As a spokesperson for the industry, he is passionate about talent development, regularly participating in initiatives to identify and develop new talent for the industry.

Global VP Security Research

Rik Ferguson is Global VP Security Research at Trend Micro. He brings more than seventeen years of security technology experience to this role. Ferguson is actively engaged in research into online threats and the underground economy. He also researches the wider implications of new developments in the Information Technology arena and their impact on security both for consumers and in the enterprise, contributing to product development and marketing plans.

Ferguson writes the CounterMeasures blog and is the lead spokesperson for Trend Micro. He is often interviewed by the BBC, CNN, CNBC, Channel 4, Sky News and Al-Jazeera and quoted by national newspapers and trade publications throughout the world. Ferguson also makes a regular appearance as a presenter at global industry events. In April 2011 he was formally inducted into the InfoSecurity Hall of Fame.

Rik Ferguson holds a Bachelor of Arts degree from the University of Wales and is a Certified Ethical Hacker and CISSP-ISSAP in good standing.

Chief Research Officer

Mikko Hypponen is a worldwide authority on computer security and the Chief Research Officer of F-Secure. He has written on his research for the New York Times, Wired and Scientific American and lectured at the universities of Oxford, Stanford and Cambridge.

Principal Security Strategist

Wendy Nather is Principal Security Strategist at Duo Security. She was formerly a CISO in the public and private sectors, led the security practice at independent analyst firm 451 Research, and helped to launch the Retail Cyber Intelligence Sharing Center in the U.S. A co-author of the “Cloud Security Rules,” she was listed as one of SC Magazine’s Women in IT Security Power Players in 2014.

Graham Cluley is an award-winning security blogger, researcher, podcaster, and public speaker. He has been a well-known figure in the computer security industry since the early 1990s when he worked as a programmer, writing the first ever version of Dr Solomon’s Anti-Virus Toolkit for Windows.

Since then he has been employed in senior roles by companies such as Sophos and McAfee.

Graham Cluley has given talks about computer security for some of the world’s largest companies, worked with law enforcement agencies on investigations into hacking groups, and regularly appears on TV and radio explaining computer security threats.

Graham Cluley was inducted into the InfoSecurity Europe Hall of Fame in 2011.

RSA, a Dell Technologies Business

Rohit Ghai most recently served as president of Dell EMC’s Enterprise Content Division (ECD), where he was instrumental in setting a compelling vision, transforming go-to-market and revitalizing the portfolio for the digital era through strategic partnerships and acquisitions. Ghai was responsible for all aspects of the ECD business, including setting strategic vision, sales and services, channel strategy, product development, marketing, finance, support and customer success.

Previously, Ghai was chief operating officer of ECD, and responsible for the division’s strategy, development and marketing of all products and solutions. He joined EMC in December 2009 to run product development.

He has more than 20 years of experience in IT in both startup and big company settings, with expertise in digital transformation in highly regulated markets, and knowledge across software, and systems and security. Ghai joined Dell EMC from Symantec, where he held a variety of senior engineering and general management roles. Previously, he was at Computer Associates in a number of senior management roles in the BrightStor and eTrust business units, and led the CA India operations as chief technology officer. Ghai joined CA through the acquisition of Cheyenne Software – a startup in the backup and data protection space.

Ghai holds a master’s degree in Computer Science from the University of South Carolina and a bachelor’s degree in Computer Science from the Indian Institute of Technology (IIT), Roorkee.

Cyber Security Europe 2016 Highlights


Comparing Google Analytics 360 and Google Analytics, google analytics certified partner.#Google #analytics


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Comparing Google Analytics 360 and Google Analytics

Google analytics certified partner

People often ask What s the difference between the standard, free version of Google Analytics and what you get with Google Analytics 360? Well, we decided to put together a handy comparison one-sheeter to help clarify the differences. Simply enter your email below to get the download link.

The main differences between the standard and enterprise versions of Google Analytics deal with the volume of and sources of data. Here s some elaboration on the areas in the comparison chart above.

More Data Collection

Both versions of Google Analytics enable you to collect data from websites, mobile apps for iOS and Android, and from custom data sources via the Measurement Protocol. GA360 has much higher limits on the amount of data that can be collected, with a tiered set of limits starting much much higher!

It also has additional slots for custom data (custom dimensions metrics) and more flexibility in organizing your data through higher limits on the number of properties and views you can have within an account. (Sorry I can t be more specific on the exact limits on properties views, but they are not public numbers.)

GA360 customers can also create Roll-up Properties, which allow you to combine data from multiple properties together (great for large organizations with collections of websites to avoid multiple sets of GA code to enable rolling up sites together).

Importing Data and Product Integrations

GA has a variety of integrations with Google advertising platforms you re probably already familiar with the AdWords integration. This is a two-way integration which both imports data from AdWords to Analytics (bringing in cost and impression data), as well as allows the export of remarketing audiences based on Analytics data to AdWords.

GA360 includes these features for AdWords as well as DoubleClick platform products DoubleClick Campaign Manager (formerly DoubleClick for Advertisers), DoubleClick Bid Manager, and DoubleClick for Publishers.

In addition to those direct integrations, GA allows importing data from custom data sources, including advertising cost data, product or content data, and more. GA360 enhances this with a feature called query-time import, meaning we can look at our historic data in the interface and view the new imported data, even if we ve changed or updated the import after the data was originally collected.

Reporting Improvements

If you were hoping that GA360 has some super-secret set of reports you ve never seen in the standard version of Google Analytics, you won t be blown away here. The table of contents of reports in GA360 is pretty much the same (although with expanded opportunities, given the additional data collection and import capabilities described above).

One additional enhancement is in the area of attribution modeling. The standard attribution modeling tool can give some formula-based models for attributing conversions to channels (like first-touch, last-touch, time decay, etc.). But which of those is the right model? GA360 includes a data driven attribution model, which actually uses an algorithm on your data to understand where different channels make the most impact.

There are also enhanced custom funnel reporting options for GA360 clients, enabling better flow reporting for on-site actions across users and sessions. This is great for visualizing multiple conversion paths through your website!

Combating Sampling

Just like GA360 allows you to collect more data, it also is designed to deal with large volumes of data better in reporting. As a reminder, when you request an ad-hoc report (a report that Google Analytics hasn t already pre-calculated, such as a custom report or a segment applied to a standard report), if the data exceeds a certain number of sessions, Google Analytics employs sampling to achieve answers quickly.

GA360 raises the limits for sampling to be much (much!) higher, so you re less likely to run into sampling as you explore your data. Another huge benefit, they ve moved sampling to the View level, which means you can help reduce sampling in the interface by adding View filters, no website changes required. If you are still hitting sampling, GA360 also has a number of additional tools to prevent or eliminate sampling, like Custom Tables (to pre-aggregate commonly-used custom reports or other sampled data) and the ability to generate completely unsampled reports. Read more about how to access unsampled data here!

APIs and Google BigQuery

Google Analytics has a variety of APIs for reporting and configuration. Again, the differences here are mainly in retrieving large volumes of data such as unsampled reports. Implementing Custom Tables will help to reduce sampling, even when pulling the data out of Google Analytics to use in another platform.

GA360 also allows hit-level data to be automatically passed from Google Analytics into Google BigQuery, Google s big data storage and querying tool. This allows more complex analysis or can act as a conduit for exporting more granular data into a data warehouse. For companies looking to answer challenging questions with their data, like defining the customer journey, looking at user behavior across sessions, or joining together external data sources, Google BigQuery is the tool you ll be most excited about.

Working With a Google Analytics Certified Partner

Last but certainly not least, when you purchase GA360 through a reseller like LunaMetrics, we work with you to make sure your get the most value out of the Google Analytics 360 Suite. At a minimum you get a contractual service-level guarantee about the availability of Google Analytics and a support analyst to call or email with questions and problems.

In addition to purchasing the subscription to Google Analytics 360 from LunaMetrics, we work with you to discuss upfront strategy and guidance, full service implementations, and we can back up our services with ongoing analysis and customer support. As expert Google Analytics trainers, we can help with internal adoption and corporate buy-in, and ultimately success with the product, through onsite trainings that we can customize for your organization and our implementation.

As an added perk, Google Analytics 360 clients often get early access to beta programs and product feedback.

In Summary

The main differences between the standard and enterprise versions of Google Analytics deal with handling larger volumes of data, in collection, integrations with DoubleClick, unsampled reporting, and export to BigQuery. Download the chart at the top of this post for a handy reference guide!

Jonathan Weber is our Data Evangelist, focusing on bringing the strategic value of data analysis to our customers. He spreads the principles of analytics through our training seminars and even wrote a book on Google Analytics Tag Manager. Before he caught the analytics bug, he worked in information architecture. Away from the computer, you can find him as a flower farmer and plant geek.

Google analytics certified partner Google analytics certified partner

Google analytics certified partner

Hi jonathan , thank you so much for sharing this piece of article, I was searching about google analytics premium, but I did not get any decent information, but you have really described very clearly and effectively.

thank you for sharing.

Thanks for the article, do you know if there are any major differences between the new (free) Google Attribution model and the one that is available in GA360? Any info on this would be great.

Google Attribution will include a variety of attribution models. Unfortunately Google hasn t publicly released much of the detail around this so I can t say much right now about Attribution and how it compares with and integrates with Analytics/Analytics 360 at this point. Stay tuned to our blog, though, because I m sure that as the release grows closer we ll be able to share more information, and it s definitely a topic we re paying attention to on the blog.

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5 ways hospitals can use data analytics #data #analytics #healthcare


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When it comes to healthcare analytics, hospitals and health systems can benefit most from the information if they move towards understanding the analytic discoveries, rather than just focusing on the straight facts.

George Zachariah, a consultant at Dynamics Research Corporation in Andover, Mass. explains the top five ways hospital systems can better use health analytics in order to get the most out of the information.

1. Use analytics to help cut down on administrative costs.

To reduce administrative costs it s really one of the biggest challenges we face in the industry, said Zachariah. One-fourth of all healthcare budget expenses are going to administrative costs, and that is not a surprise because you need human resources in order to perform.

Zachariah suggests that hospital systems begin to better utilize and exchange the information they already have by making sure their medical codes are properly used, and thus, the correct reimbursements are received.

Right now, with electronic medical records, you can see that automated coding can significantly enhance how we can turn healthcare encounters into cash flow by decreasing administrative costs, he said.

Zachariah said that having all medical tests, lab reports and prescribed medications for patients on one electronic dashboard can significantly improve the way clinicians make decisions about their patients while at the same time cutting costs for the organization.

If all the important information is on one electronic dashboard, clinicians can easily see what needs to get done for a patient, and what has already been done. They can then make clinical decisions right on the spot, he said. In addition, clinicians will not be double-prescribing patients certain medications due to the lack of information they have on the patient.

3. Cut down on fraud and abuse.

Zachariah said that with such a significant amount of money lost in the healthcare industry due to fraud and abuse, it s important for organizations to use analytics for insight into patient information and what physicians are doing for their patients.

Analytics can track fraudulent and incorrect payments, as well as the history of an individual patient, he said. However, it s not just about the analytic tool itself but understanding the tool and how to use it to get the right answers.

4. Use analytics for better care coordination.

Zachariah believes that the use of healthcare analytics in the next 10 years is going to be extremely important for hospital systems.

Even within the same hospital systems, it can be very disjointed, he said. I think we need to use analytics to help with patient handoff, both within systems and between all types of healthcare organizations across the country. Historically, within many organizations different specialties just didn t communicate to one another about a patient, and I think we can really work to have all records reachable across the country.

5. Use analytics for improved patient wellness.

Analytics can help healthcare organizations remind patients to keep up with a healthy lifestyle, as well as keep track of where a patient stands in regard to their lifestyle choices, said Zackariah.

Analytics can be used to provide information on ways a certain patient can modify his or her lifestyle, he said. This makes a patient s health a huge priority and I don t think people will mind be reminded to take care of themselves.


Difference between Business Analytics and Business Intelligence – Business Analytics #difference #between


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Difference between Business Analytics and Business Intelligence

Business analytics differs from business intelligence. Business owners must learn the distinctions between the two in order to effectively employ them for the success of their enterprise.

Experts maintain that business analytics is basically one term for a bigger concept and is associated with the following complex functions:

  • Enterprise information
  • Enterprise performance management
  • Data warehousing
  • Analytic applications
  • Business intelligence
  • Business risks
  • Compliance
  • Governance

Business Analytics vs. Business Intelligence

Business intelligence is an umbrella term as well but it is a more focused concept. Enterprises that utilize tools, infrastructure, applications, and practices permit them to access and analyze data. This leads to improvements in optimization and performance. This means that they make use of business intelligence programs. The two are not really new concepts. Business analytics and intelligence have emerged as principal implements that guide decisions and strategies for disciplines like marketing, research and development, customer care, credit and inventory management. Both are progressing rapidly to meet business challenges and develop fresh opportunities.

The two approaches are on the pointed end of a major change and the shift is geared towards providing bottomless insight into business information. Likewise, there is a mounting emphasis on superior tools and more advanced software in the possession of decision makers. Remember that going through and obtaining data calls for a strong infrastructure, effective data gathering implements, and sophisticated software for mining and business analytics. The emergence of these tools makes it possible for business planners to make out unseen trends, customer relationships, purchasing behavior, operational and monetary patterns, and business opportunities.

These two are distinct but connected tools. Business intelligence provides a way of amassing data to find information primarily through asking questions, reporting, and online analytical processes. On the other hand, business analytics takes advantage of statistical and quantitative data for explanatory and predictive modeling. Analytics focuses on solutions-oriented capabilities which create value and convert information into knowledge. Both business intelligence and analytics are going forward briskly. Organizations are now turning to these vehicles to encompass bigger and assorted data sets. These consist of unstructured data like documents, e-mail, audio files, and video footages.

The only issue is that the standard business intelligence tools are not very flexible and most databases have not been designed for fast change. Moreover, majority of conventional BI sellers continue to produce products that do not interface particularly well with alternative sources of data like social media. Many corporate entities opt for business intelligence programs to upgrade their decision-making abilities, reduce operational costs, and pinpoint fresh business prospects.

It is more than just corporate reporting and a bunch of tools to wheedle the required data out of enterprise systems. This is being utilized to categorize inept business methodologies which are ripe for reconstruction. In fact, you can begin to analyze data using these tools instead of waiting for Internet technology to manage complicated reports. It may be true that business intelligence has a great potential, the implementation process can be affected by a lot of challenges especially technical and social aspects. However, business owners should make sure that data feeding these applications should be consistent and wholesome so users will trust the program.

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SAP s HANA will lose the big data war without open source,


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SAP’s HANA will lose the big data war without open source, as proven by 21 new security flaws

SAP has been boasting about its “revolutionary” big data platform, SAP HANA, for years. While its claims have always been a bit suspect, recent revelations that HANA is riddled with critical security flaws only reinforce the mantra that, when it comes to big data infrastructure, open source is best.

Most other companies get this, even hitherto proprietary giants like IBM. Will SAP get the memo in time to rejigger its approach to big data?

Probably not, which is why SAP customers should probably check out what open source has to offer.

(Almost) everything has open source inside

Even the most proprietary software generally has open source inside. That’s why Gartner analyst Martin Kihn can declare with utmost assurance that everything—everything—is open source now, to some degree:

I am willing to guess you—yes, you—would be shocked if you really understood to what extent that whizzy piece of expensive cloud software you’re using actually (deep, deep in its soul) was running on absolutely free, not-developed-here, open source technology that you—yes, you—could probably bang into something almost as useful if you only knew how to do it.

It’s also why you really, really shouldn’t be futzing with SAP HANA, or any other proprietary data infrastructure that tries to go it alone without the aid of the open source community. Cloudera chief strategy officer Mike Olson perhaps said it best :

There’s been a stunning and irreversible trend in enterprise infrastructure. No dominant platform-level software infrastructure has emerged in the last 10 years in closed-source, proprietary form.

Which brings us to. HANA.

Big data, big problems

HANA, SAP’s big data darling, has been the subject of controversy for some time. For years Wall Street analysts like Peter Goldmacher (formerly of Cowen Co.) have criticized SAP’s financial treatment of HANA, arguing that the legacy software vendor had been misrepresenting HANA revenue to project an “inflated growth rate.”

In short, he and others argued HANA’s zero-to-$1 billion rapid growth story was “highly, highly unlikely.”

But wait! It gets worse.

That’s because security firm Onapsis just uncovered 21 significant security flaws in HANA, eight of which it deemed “critical.”

How critical? Unless companies act to change system configurations, “Unauthenticated attackers could take full control of vulnerable SAP HANA systems, including stealing, deleting or changing business information, as well as taking the platform offline to disrupt key business processes.”

Not a cheery thought.

And, it’s why Host Analytics (and data infrastructure expert) Dave Kellogg advises HANA customers to switch to “standard infrastructure,” in part because it’s “more proven.”

Peaceful coexistence. for now

Like, for example, Apache Spark.

Of course, Spark-sponsor Databricks will be quick to say that SAP HANA and Spark are complementary, that the one is great for analyzing legacy enterprise data stuck in a CRM or ERP system while the latter handles. pretty much everything else.

This is true, but maybe not relevant. At least, not for long.

After all, as Kamlesh Barvalia, business intelligence and analytics Leader at GE, argued. there is “a great deal of overlap” between the two in terms of features and use cases, and many (like he) will “bet on Spark for the long haul.”

Why? Because Spark is open source (so “you do not run the risk of getting yourself trapped in proprietary development platforms” like HANA), cheaper, and “There is a great deal of momentum behind Spark and it appears that the feature overlap as well as breadth and depth of offering will only increase as the time goes by.”

Stated in pithier fashion, “What Dave Kellogg said.”

Spark isn’t the only open source challenge to HANA’s alleged momentum (barely ahead of Informix in terms of overall popularity ). Given the pace at which the open source community keeps leapfrogging itself with better and better data infrastructure, hatched and released by companies like Google, Facebook, and LinkedIn, who manage scale and speed that even SAP can hardly fathom, this is the open source community’s market to lose.

But it won’t, for all the reasons Mike Olson called out in his post. Ultimately, all data infrastructure will be open, or it will be irrelevant.

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9 of the Best Free Social Media Analytics Tools #free #social #media


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Want to know what’s working on social media?

W ord-of-mouth advertising is very powerful. You need to earn the trust of your audience so they will recommend your products or services to their friends. Chances are that you’re already using Facebook, Twitter, and other platforms to create engagement and thought leadership in your space. S ocial media analytics tools can help you make sense of how well your social media marketing efforts are paying off and identify areas that need improvement.

These 9 free social media analytics tools are some of the best out there.

This isn’t an ordered list — all of these apps are great. Give a few of them a try and gain some insights that will help you reach your goals!

1. Followerwonk

Followerwonk helps you explore and grow your social graph. You can dig into your Twitter analytics to learn who your followers are, where they’re located, and when they tweet. The app creates actionable visualizations that enable you to compare your social graph to others, as well as find and connect with influencers.

2. Buffer

Buffer is a great tool that will help you in two main ways. You can write a few of posts at a time and choose which social profiles to send them to, and then Buffer will spread them throughout the day or week so that you don’t have to be at a computer all the time in order to have a social media presence. It also shortens your links and tracks engagement so you can see how many people clicked on them.

3. SumAll

SumAll helps guide your decision making by connecting all your key online marketing and e-commerce data in one interactive chart. Features include real-time data monitoring, goal tracking, viewing new vs. returning customers, and trendlines that project future performance.

4. Quintly

Quintly is a social media benchmarking and analytics solution that tracks and compares the performance of your social media marketing activities. Whether you are using Facebook, Twitter, YouTube, Google+, or all of them, their tool visualizes and checks your social marketing success, benchmarking your numbers against your competitors or best practices.

5. Cyfe

Cyfe is an all-in-one dashboard that helps you monitor and analyze data found across all your online services, including Google Analytics, Salesforce, AdSense, MailChimp, Amazon, Facebook, WordPress, Zendesk, and Twitter from one single location in real time. No more wasting countless hours tracking down your data from all over the Web every day!

6. Keyhole

Keyhole provides real-time social conversation tracking for Twitter, Facebook, and Instagram. It helps you measure and amplify conversations around your brand and campaigns, enables you identify prospective clients and influencers talking about (or looking for) your services, and aids in driving engagement by finding and re-sharing relevant content.

7. Klout

Klout measures influence based on your ability to drive action across the social Web. When you connect your social media accounts, it generates a score on a scale of 1-100 that represents your ability to engage other people and inspire social actions. The platform helps you gain insights that allow you better understand how you influence others.

8. ViralWoot

ViralWoot enables you to get more exposure for your Pinterest profile and your pins. You earn “seeds” (points) by following other users and re-pinning. It also helps with scheduling so your visibility is increased, and you can create alerts that let you know when other users are pinning your content.

9. Addictomatic

Addictomatic is straightforward tool that can be used to monitor your brand’s influence and reputation. Its discovery platform searches Google, Bing, Twitter, WordPress, YouTube, and Flickr to find the most recent blog posts, news, images, or videos based on your keywords. It breaks the search results into headers, making them easier to navigate.

It’s always great to discover new useful tools, thanks for creating this list.

I use these tools:

  • SimilarWeb is awesome for revealing anyone’s traffic structure
  • Buzzsumo is perfect to find popular articles
  • Fanpage Karma for detailed fan page analysis

But the best thing is when you combine these and put together a tool-excel magic combination for getting the most out of your data. I was curious about how some of the top publishers perform on social media, so I did an analysis by combining SimilarWeb, Buzzsumo and Fanpage Karma.

The best thing is that I got all the information for free. Here is the link if you would like to check it out: http://blog.momentum.ai/how-the-top-publishers-perform-on-social-media

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Marketers are constantly seeking to engage with their buyers and drive actions that help buyers move rapidly through their customer lifecycl.


What Is Social Media Marketing? #social #media #analytics #platforms


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What Is Social Media Marketing?

What Is Social Media Marketing?

Social media marketing refers to the process of gaining traffic or attention through social media sites.

Social media itself is a catch-all term for sites that may provide radically different social actions. For instance, Twitter is a social site designed to let people share short messages or updates with others. Facebook, in contrast is a full-blown social networking site that allows for sharing updates, photos, joining events and a variety of other activities.

How Are Search Social Media Marketing Related?

Why would a search marketer or a site about search engines care about social media? The two are very closely related.

Social media often feeds into the discovery of new content such as news stories, and discovery is a search activity. Social media can also help build links that in turn support into SEO efforts. Many people also perform searches at social media sites to find social media content. Social connections may also impact the relevancy of some search results, either within a social media network or at a mainstream search engine.

Social Media Marketing At Marketing Land

Marketing Land is the sister site to Search Engine Land that covers all facets of internet marketing, including these popular topics within social media marketing :

To keep up with social media marketing, subscribe to our weekly Social Media Marketing digest and Marketing Day daily recap newsletters. with the latest articles from Marketing Land and Search Engine Land, as well as the day’s news sources all over the web.


EMR Adoption Model #himss #analytics #emr #adoption #model


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EMR Adoption Model

Created by the HIMSS Analytics group in 2005, the EMR Adoption Model (or EMRAM) is a tool that scores healthcare facility’s levels of IT systems adoption in the United States and Canada. The Purpose of EMRAM is to promote and support hospitals and other health care systems to implement technology in their practice to improve healthcare delivery. This includes improved patient safety, quality care, health information exchange and a paperless environment.

Contents

EMRAM Scoring Levels

There are 8 levels total, 0-7, that rate the level of a facility’s EMR capabilities(2). Provided is HIMSS Analytics’ descriptive summary of each stage, from most basic to advanced: [1]

  1. Stage 0, signifies that the “3 key ancillaries”, radiology, laboratory and pharmacy departments, have not been installed.
  2. Stage 1 indicates the 3 ancillaries have been installed at the organization.
  3. Stage 2 reflects the organization’s abilities to submit data to a clinical data repository (CDR) from key ancillary departments. The data is then available for viewing by medical staff. The CDR must have a controlled medical vocabulary, CDS, and may have Image viewing capabilities.
  4. Stage 3 the organization has installed clinical documentation flow sheets, a clinical decision support system has been executed, and there is image viewing accessibility.
  5. Stage 4 Computerized physician order entry (CPOE) has been implemented. CDS have been modified to allow evidence-based medicine (EBM) practices.
  6. Stage 5 Implementation of “closed loop medication administration environment” has occurred in a minimum of one patient service department. Auto-identification technologies have been synced with the CPOE and pharmaceutical department.
  7. Stage 6 Structured templates are used in a minimum of one patient service department. The radiology PACS system is in use, allowing providers to view all medical images through a “intranet or secure-network”.
  8. Stage 7 The organization has achieved the highest level of integration, and functions in a paperless environment. They have full sharing capabilities with other healthcare facilities and Health Information Exchanges (HIEs).

Please visit the HIMSS Analytics website for Current US and Canada EMR Adoption Model Statistics: http://www.himssanalytics.org/hc_providers/emr_adoption.asp

Current EMRAM Accomplishments

There are currently 57 of 5,000 hospitals in the United States that have achieved Stage 7. [2]

The HIMSS Analytics website has a current list of all hospitals that achieved Stage 7. [3]

ASA Satisfaction of Meaningful Use Requirements

The American Society of Anesthesiology (ASA) has determined that current systems easily meet the following criteria of stage I meaningful use requirements:

  1. Records patient demographics
  2. Contains current problem list
  3. Maintains current medication list
  4. Maintains current allergic medication list
  5. Records smoking status
  6. Implements one clinical decision support function
  7. Contains CPOE capabilities
  8. Protects patient information and secures privacy
  9. Contains lab test results
  10. Uses data for Continuous Quality Improvement (CQI) [4]

Benefits of EMR in the Intraoperative Setting

Automate Perioperative Charting

Surgical management solutions automate perioperative charting across all phases of care which include pre-admission testing (PAT), pre-operative, intra-operative and post-operative in order to streamline workflow and reduce redundancy of effort. Well-established systems such as those offered by Cerner and McKesson share data directly from their established EHR. Clinicians receive vital, real-time information at the point of care, helping to provide better, safer care in the operating room and on the floor. Information about fluids, medications, allergies, and other vital patient data is instantly updated in real time and across settings of care to bolster safe decision making and reduce complications. Real time updates which are automated not only increase efficiency, but increases accuracy as well. The care provider can focus more on taking care of the patient rather than the charts. [5]

Optimize Capacity and Throughput

The medical field ha s many opportunities for operational inefficiency. With the high cost of facilities, equipment and personnel, even the smallest waste can have a large impact on the bottom-line. Bottlenecks are reduced as inefficiencies in scheduling are identified. Underbooked facilities and overutilized personnel can be tracked in an objective manner. Procedure scheduling and operating room management activity has profound effects on impact efficiency and finances, like supply management and patient accounting. Integration be between the various hospital settings helps optimize operating room capacity and throughput, control resource utilization, lower supply costs and maximize revenue-all of which improve clinical and financial performance. [6]

Benchmarking, Analytics and Reporting Tools

Benchmarking, analytics, reporting and scorecarding are various tools hospital systems use to assess the efficacy of new processes and allow the comparison to their peers. Monitor key performance indicators and respond proactively to opportunities to improve the productivity and profitability of surgical services while enhancing patient safety in the operating room. As the public and private sector demands more benchmarking in comparing one system versus another, this data will become useful. The current trend in healthcare is to increase patient value. Patient value is defined as an increase in quality over the cost of medical treatment. To enhance patient value, either the quality must improve or the cost must decrease. Analytics will facilitate in objectively identifying strategies which can achieve both ends. [5]

Related Articles

References


IBM Cognos Analytics – IBM Analytics #cognos, #ibm #cognos, #cognos #analytics, #ibm


Cognos Analytics

IBM® Cognos Analytics offers smarter, self-service capabilities so you can quickly and confidently identify and act on insight. The engaging experience empowers business users to create and personalize dashboards and reports on their own – while providing IT with a proven and scalable solution that is available on premises or on the cloud.

Integrated solution for data discovery and reporting

Guided experience to access data and create dashboards/reports

Consistent web-based experience on all devices, on or offline

Proven governed platform for performance and scalability

Bring your data to life

Self-service reporting and dashboarding features help virtually anyone create informative, engaging visualizations without needing help from IT

Reporting and visualization features

  • Contextualized smart search
  • Intuitive interface helps all users quickly author content
  • Dashboards can be created using drag and drop on mobile device or desktop
  • Automatic recommendation of the best visualizations for particular data Templates and styles let you format reports instantly
  • On-demand menus for access to full capabilities over a clean workspace
  • Single interface to create ad hoc or pixel perfect reports, frees up IT

Make your data work for you

Working with data should be straightforward and productive not painful. Expand the sphere of people who can proficiently work the data.

Data modeling features include:

  • A complete web-based experience
  • Easy upload of personal and external data
  • Direct reporting from data sources
  • Effortlessly combine data sources
  • Automatic data model generation based on keywords

MS in Business Analytics #ms #analytics #online


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MS in Business Analytics

Curriculum

Fast-paced program
The 32-credit hour program can be completed in one year of full-time study (or more than one year of part-time study).

Cutting-edge curriculum
The MSBA curriculum includes courses covering current topics on business intelligence, applied statistics, data mining, machine learning, text analytics, data visualization, optimization, ‘big’ data analytics. The curriculum integrates knowledge and training on technical topics with business applications and functions, such as finance and marketing. to understand analytics strategy and practice in organizations. Various analytics-related business electives allow students to focus on specific business areas.

Exposure to technology
Through intense coursework, you will gain experience in using tools such as SAS, R, Python, IBM/SPSS, Hadoop, Rapid-Miner, Tableau and others. With hands-on projects, you can play with live data from digital marketing and social media, finance, accounting, supply chain management, healthcare and e-commerce.

Experiential learning
The MSBA includes a capstone experience where students work with a client organization to framing analytics strategies and develope analytics solutions.

Who should enroll?
Any student interested in harnessing diverse data for business excellence. We encourage applicants from the sciences, business, engineering, humanities and healthcare who want to combine skills in data management, technology and analytics to create business solutions. Working professionals looking to develop newer capabilities in business intelligence and analytics, business professionals and entrepreneurs who want analytical skills to become data-driven decision makers as well as undergraduates seeking specialized knowledge and training to work in data rich environments are all encouraged to apply.

More Information

For a full list of requirements including prerequisites, visit the UIC Catalog

Full a full list of courses offered, visit the Course Catalog

Program Outcomes

The UIC Liautaud Master of Science in Business Analytics helps you develop skills and training to work in data-rich environments, and enables you to develop capability in business intelligence and analytics. After completing the program, you will be able to bring together information technology, data science and business so that you will be able to analyze communicate the value of data.

Career Outcomes. Career opportunities in business analytics abound, and promise to grow exponentially for the next decade. The program prepares students for roles such as business analyst, data analyst, quantitative analyst, data scientist, digital marketing analyst, supply chain analyst, risk analyst, product manager for information and analytics-driven organizations, as well as managerial roles leading to chief data officers, chief analytics officers and chief information officers.

View Degree Requirements

The Master of Science in Management Information Systems focuses on information technology, software and systems, and prepares students for jobs as developers, business analysts, project managers, and technology consultants.

The Master of Science in Business Analytics trains students to work in data-rich environments. It enables students to solve real business problems through organization, analysis, and interpretation of data. This course prepares students for jobs as data analysts, data scientists, and domain analysts (e.g. financial analyst, healthcare analyst, or risk analyst).

The program offers prerequisites to equip students with the necessary business and technical background. Prerequisites do not count toward the 32-credit program requirement. Technical prerequisites cover essential knowledge of databases, programming, and statistics. Students without prior business education or experience are required to take two courses in core business areas like finance, marketing, accounting, or operations. Prerequisite courses may be waived based on equivalent prior coursework or work experience in a functional area. For a full list of requirements including prerequisites, see “View Degree Requirements” above, or visit the UIC Catalog.

The MS Business Analytics program offered by the Liautaud School of Business is a STEM (Science, Technology, Engineering and Math) course.

The MS Business Analytics program admits students in both the fall and spring semesters. Students may choose to enter in the summer semester to take prerequisite courses, including programming, database, and business prerequisites. Students seeking summer admission are encouraged to apply early.

Students from a variety of backgrounds (including tech and business) enroll for the MSBA program. Through coursework, students develop the technical and business skills required to successfully complete the program. We assess candidates to provide each individual with prerequisite courses based on their background and work experience.


5 Open Source Big Data Analysis Platforms and Tools #big #data, #open


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5 Open Source Big Data Analysis Platforms and Tools

It seems that Hadoop. by offering lower cost distributed computing, did as much to advance Big Data as any other software solution. So certainly any list of open source Big Data platforms will start with Hadoop. Yet as the rise of Spark shows, Hadoop may be a founding pioneer and may well retain its place as the foundation of Big Data but will not of course be its sole cornerstone. So think of this list (which does indeed start with Hadoop) as a glimpse of the pioneering days, the true infancy, of Big Data. The solutions on this list all look, to a greater or lesser extent, to Hadoop as a standard by which to compare their own performance. But the range of the list shows that this comparison is indeed just a springboard, and that many other open source Big Data solutions are sure to evolve in the years ahead.

16 Open Source Big Data Databases

7 Open Source Big Data Business Intelligence Tools

8 Open Source Big Data Mining Tools

5 Open Source Big Data File Systems and Programming Languages

5 Open Source Big Data Tools: Transfer and Aggregate

50 Top Open Source Tools for Big Data