Graph Databases: Connecting the Dots

Graph Databases: Connecting the Dots

The global population of data is rapidly growing and organizations are finding themselves challenged with how to store and manage data in a way that quickly leads to tap into actionable data. Today’s business decisions demand more complex data models that precisely represent the characteristics of entities and how these entities relate to one another in the physical world.…

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The Implications of Big-data Marketing: Bigger Than You Think

The Implications of Big-data Marketing: Bigger Than You Think

Across all industries – from utilities to banking and from healthcare to education – organizations are tapping into unprecedented amounts and types of actionable “big data” to understand consumers and drive powerful engagement. This is possible through evolving tools that analyze and parse data into hyper-personalized micro-segments of consumers – enabling an organization to deliver the right...

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How to Capture Market Share Through Data-Driven Drug Discovery

How to Capture Market Share Through Data-Driven Drug Discovery

For years pharmaceutical companies have taken existing drugs and repurposed or repositioned them to create new drugs. These new drugs are often geared towards neglected therapeutic areas. Drug repurposing has always been a solid “go to” strategy and a proven method for mitigating the financial risk of drug discovery and a means of addressing softening market share.…

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The Big Data Analytics Revolution – How Big Data Has Changed Business Intelligence

The Big Data Analytics Revolution – How Big Data Has Changed Business Intelligence

Big Data is mainstream. Over the past few years, the Big Data buzz has dissipated as companies look to shift from awareness to action. At O’Reilly’s Strata+Hadoop conference last September, I was excited to hear the victorious claim that Big Data had gone mainstream and ever since I have seen evidence through our clients, partners, and publicized examples of Big Data cases.…

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Is Data Warehousing really dead?

Is Data Warehousing really dead?

Traditional data warehousing was pioneered by Ralph Kimball and Bill Inmon in 1970s to address growing problem of accessing data for reporting and analytics from multiple disparate data sources. Key drivers and goals of data warehousing are: Collect data from multiple sources into a single repository Expose data for reporting and analytics in a performant way Keep full history of data...

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Digital Algorithmic Curation. Narrowing our View of the World?

Digital Algorithmic Curation. Narrowing our View of the World?

The Short of it: Digital algorithmic curation, the idea of constructing and serving digital experiences based on a user’s behavior, is meant to provide the consumer personalized experiences for higher revenue generation. From a macro perspective, however, it may also have the unintended consequence of narrowing our collective view of the world by only serving us content that we agree with and...

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Harnessing the Power of Customer Meter Data in a Post-AMI Utility

Harnessing the Power of Customer Meter Data in a Post-AMI Utility

It’s a given that utilities investing in Advanced Metering Infrastructure (AMI) and Distribution Automation (DA) are able to take full advantage of near real-time meter data: improving meter-to-cash, end-of-feeder circuit health, outage/fault isolation, for example. Utility customers typically subsidize AMI deployments, but what rights do customers and third party providers have to leverage...

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Data for Good: Tackling the Open Data Movement

Last month, I had the opportunity to attend O’Reilly’s Strata Conference as a representative of West Monroe’s Advanced Analytics team. Strata focuses on trends in Big Data and Analytics, two of the hottest topics in the technology world today. At Strata, I was exposed to emerging Big Data architectures and design patterns, and had the chance to meet passionate and influential technologists in...

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Beyond Decision Tree Segmentation for Banks

Customer segmentation is an essential and valuable exercise for marketers in the financial services industry. The many benefits of a customer segmentation program include the ability to target campaigns and products to the most profitable audiences, increase response rates, lower acquisition costs and increase retention and cross-sell rates.  Segmentation can also help banks compete with...

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Tips on supercharging your ETL

We live in the era of big data explosion with data volumes growing at exponential pace.  At the same time data driven organizations increasingly demand more real time data availability. Given these trends, ETL performance is quickly gaining business importance. Let’s look at a few approaches that could be considered to maximize performance of data processing.…

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