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Posts Tagged ‘Emerging BI Trends’

Hadoop, Spark, Cassandra, Oh My!

Previously, I reviewed why Spark will not by itself replace Hadoop, but Spark combined with other data storage and resource management technologies creates other options for managing Big Data.  Today we will investigate how an enterprise should proceed in this new, “Hadoop is not the only option” world.  Hadoop, Spark, Cassandra, Oh My!  Open source Hadoop and […]

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Will Spark Replace Hadoop?

I have seen a number of articles asking the question of whether Apache Spark will replace Hadoop.   This is the wrong question!  It is like asking if your your DVD player will replace your entire home theater system, which is pretty absurd.  Just like a home theatre system has many components, a TV or Projector, a Receiver, […]

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Analytical Talent Gap

As new companies embark on the Digital Transformation leveraging Big Data, key concerns and challenges get amplified especially for the near term before the technology and talent pool supply adjusts to the demand. Looking at the  earlier post Big Data Challenges, the top 3 concerns were: Identifying the Business value/Monetizing the Big Data Setting up the […]

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IT (Operational) Vs. BT (Business Technology) Investments

IT spending is primarily focused on technologies to run the business primarily operations. With new ways of doing business, technology platforms decide the winners and losers. Typical brick and mortar versus online stores. If you look at the CIO’s budget, more than 70% goes to operational systems, infrastructure and keeping-the-lights-on-type-of applications, and the rest is […]

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Managing Data in the Digital Transformation Era

Managing data has been a challenge irrespective of the size of the company. Last couple of decades most of the companies invested in leveraging the Enterprise Data through variety of initiatives like Enterprise Data Warehouse and Business Intelligence. If we divide the enterprise information usage in the last 2 decades, primarily they fall into the […]

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Data Quality – Don’t Fix It If It Ain’t Broke

What is broke?  If I drive a pickup truck around that has a small, unobtrusive crack in the windshield and a few dings in the paint, it will still pull a boat and haul a bunch of lumber from Home Depot. Is the pickup broke if it still meets my needs? So, when is data […]

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Big Data, Big Confusion

  Everyone wants a piece of Big Data action whether you are part of Product Company, Solution provider, IT, or Business user. Like every new technology, Big Data is confusing, complex and intimidating. Though the idea is intriguing, the confusion begins when the techies start taking sides and tout the underlying tools rather than solution. […]

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The New Data Integration Paradigm

Data integration has changed.  The old way of extracting data, moving it to a new server, transforming it, and then loading into a new system for reporting and analytics is now looking quite arcane. It’s expensive, time consuming, and does not scale to handle the volumes we are now seeing in the digitally transformed enterprise. We […]

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Analytics in the Digital Transformation Era

Successful Enterprises compete on many capabilities ranging from product excellence, customer service and marketing to name a few. Increasingly the back office / Information Technology (IT) is becoming a strategic player in the Digital Business Model which supports these key capabilities. In other words back office/IT Capability itself is becoming a differentiator. All of the […]

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The Industrialization of Advanced Analytics

Gartner recently released its predictions on this topic in a report entitled, “Predicts 2015: A Step Change in the Industrialization of Advanced Analytics”. This has very interesting and important implications for all companies aspiring to become more of a digital business. The report states that failure to do so impacts mission-critical activities such as acquiring […]

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Perficient Data & Analytics

Trends, best practices, and technical perspectives from data and analytics experts. Readers will gain valuable insights and strategies in harnessing the power of data to drive actionable intelligence for a digital transformation journey.

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