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Neetu Shaw

As Perficient's Business Intelligence (BI) Company-Wide Practice leader, Neetu Shaw provides thought leadership in developing and implementing a common BI foundational framework for Perficient and our many BI/DW clients, including common services, methods, knowledge management and an integrated enablement plan for both sales and delivery. Neetu is a business-focused and solutions-driven information management professional with executive consulting experience. Her career has been dedicated to BI consulting, thought leadership and solution sales leadership with solid experience in all phases of program implementation from initial business visioning to ROI justification through execution.

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IBM’s Advanced Analytics Portfolio

IBM’s Advanced Analytics story is now powerful yet simple. It focuses on ALL! Hybrid (heterogeneous architectures), trust (ensuring end-to-end accuracy and trust in the entire system), and agility (speed of thought analysis) are the core principles for this transformation to IBM’s Analytics portfolio. The product stack comprises Cognos Analytics, Watson Analytics, and Spark sparking SPSS […]

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Advanced Analytics for All

IBM’s Advanced Analytics story is now powerful yet simple. It focuses on ALL! Hybrid (heterogeneous architectures), trust (ensuring end-to-end accuracy and trust in the entire system), and agility (speed of thought analysis) are the core principles for this transformation to IBM’s Analytics portfolio. The product stack comprises Cognos Analytics, Watson Analytics, and Spark sparking SPSS […]

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Data Management the IBM Way

In a bid to win the race to Insight, IBM itself has undergone a major transformation in its Data and Analytics product portfolio. At #IBMInsight, IBM Executives each day organized several Keynotes and Super Sessions to unveil their ever-evolving approach to modern day data architecture, where Analytics and Cloud are integral components of a transformational […]

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Redefining Data Management – Open, Hybrid & Simplified

In a bid to win the race to Insight, IBM itself has undergone a major transformation in its Data and Analytics product portfolio. At #IBMInsight, IBM Executives each day organized several Keynotes and Super Sessions to unveil their ever-evolving approach to modern day data architecture, where Analytics and Cloud are integral components of a transformational […]

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Leading with Insight at #IBMInsight

The message at IBM Insight 2015 was loud and clear: “Insight is the new currency.” Therefore, organizations must strive to lead, and not just compete, in this “Insight Economy.” The companies that will leverage data in its totality (“big” and “small”) combined with cognitive computing and analytics will be the intelligent brokers of game-changing information […]

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Insight is the New Currency

The message at #IBMInsight this week was loud and clear, “Insight is the new currency”, and therefore, organizations must strive to lead, and not just compete, in this “Insight Economy”. The companies that will leverage data in its totality (“big” and “small”) combined with cognitive computing and analytics will be the intelligent brokers of game […]

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Kudu meets the Elephant

So, the already convoluted Open Source Hadoop ecosystem just got a little more complicated with a Kudu joining the Elephant at #StrataHadoop. Advocates of Fast Analytics on Fast Data at Scale also just got more excited regarding the potential of fast writes, fast updates, fast reads, fast everything – all with Kudu! Cloudera’s Kudu is […]

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Facebook Faces-off with YouTube

Yesterday, Facebook announced a News Feed algorithm change that will show members more videos similar to ones they “expand to full-screen, un-mute or opt to watch in HD”, even if they don’t Like, share or comment. Those same indicators will tell Facebook that a video is enjoyable so the Feed shows it to more people. […]

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3 “Cool” Big Data Vendors

Gartner recently published its “Cool” Vendors in Big Data for 2015 list. To qualify, “vendors must meaningfully combine multiple types of functionality”. These companies were selected based on their ability to effectively address complicated challenges of this space such as big data storage in the cloud or big data privacy. Now, let’s look at the […]

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Google and IoT

To compete with efforts by Oracle, Apple and Microsoft to create software for developers for the Internet of Things (IoT) applications, Google announced “Project Brillo” at their I/O Conference in San Francisco on May 28. In their statement, they said that, “Brillo extends the Android platform to all your connected devices, so they are easy […]

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No Real Transformation Without Data & Security

Of the 10 top concerns of CIOs and CTOs, as reported in Janco Associates Annual Review, Consolidation of Legacy Data and Big Data both show up in the Top 5, and have moved up substantially from prior years’ surveys. Furthermore, In Forbes’ Top 10 Strategic CIO Issues For 2015, “Drive Customer-Centric Innovation Throughout Your Organization”, […]

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No Real Transformation Without Data & Security

Of the 10 top concerns of CIOs and CTOs, as reported in Janco Associates Annual Review, Consolidation of Legacy Data and Big Data both show up in the Top 5, and have moved up substantially from prior years’ surveys. Furthermore, In Forbes’ Top 10 Strategic CIO Issues For 2015, “Drive Customer-Centric Innovation Throughout Your Organization”, […]

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Data & Security on Top of the Mind of CIOs

Of the 10 top concerns of CIOs and CTOs, as reported in Janco Associates Annual Review, Consolidation of Legacy Data and Big Data both show up in the Top 5, and have moved up substantially from prior years’ surveys. Furthermore, In Forbes’ Top 10 Strategic CIO Issues For 2015, “Drive Customer-Centric Innovation Throughout Your Organization”, […]

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Essentials for Transforming into an Information-Driven Enterprise

I recently got published in the Special Big Data Edition of CIO Story (see page 20), where I talked about the “six” essentials for transforming into an Information-driven organization. Information is a hot commodity. Research suggests that in the next two to three years, businesses will begin to apply monetary value to their information assets […]

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Essentials for Transforming into a Digital Enterprise

I recently got published in the Special Big Data Edition of CIOStory (see page 22), where I talked about the “six” essentials for transforming into an information-driven organization. Here, I extend that premise to the creation of an information-driven, digital enterprise. Information is a hot commodity. Research suggests that in the next two to three years, businesses […]

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“IoM” Drives Digital

All of this focus on the Internet of Things (IoT) is really about the “Internet of Me” (IoM). From social media sites to smartphone apps and GPS systems, loads of data are being generated today about individuals – their interests, their travels, their behavioral patterns, their purchases, and so on. No one in this digital […]

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"IoM" Drives Digital

All of this focus on the Internet of Things (IoT) is really about the “Internet of Me” (IoM). From social media sites to smartphone apps and GPS systems, loads of data are being generated today about individuals – their interests, their travels, their behavioral patterns, their purchases, and so on. No one in this digital […]

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It’s All About “IoM”

All of this focus on the Internet of Things (IoT) is really about the “Internet of Me” (IoM). From social media sites to smartphone apps and GPS systems, loads of data are being generated today about individuals – their interests, their travels, their behavioral patterns, their purchases, and so on. No one in this digital […]

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Retailers and the Big Data Explosion

Most big retailers are already familiar with the revenue opportunities as well as the challenges connected with Big Data, and are exploiting technologies to deal with them.  But, they have been slower to prepare for the explosive growth in Big Data that is being brought about by the prevalence of smartphones and tablets. The impact […]

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Big Data Cautions

As the volume of information that can be scrutinized and dissected grows, and the number of potential correlations abound, the potential for false information and false correlations increases, as well.  The fact that we have greater quantities and greater varieties of data does not in itself ensure that our conclusions or our analysis of that […]

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