Research

In a previous blog post, we discussed the foundation of building an analytics team including the four key elements: Leadership & Governance Structure, Scope of Services Charter, Teams and Roles. This blog installment will center on the design of centralized and decentralized models and will also touch on the interdependencies and how firms manage work across organizational lines.

Read More »

As organizations go through the process of establishing its organization structure for an Analytics function, it is imperative to start the design and launch of a new analytics organization with a basic blueprint to ensure that all of the roles, skills, and capabilities are in place from the beginning. It is this blueprint that we will review from top to bottom so that as you serve your organization as a decision-maker or key stakeholder you will be well-equipped as an architect or influencer to make certain that the right structures to fit your company’s needs can be put into place from the beginning.

Read More »

Hadoop and the Enterprise Data Warehouse, Simplified

By IIA Faculty, Nov 16, 2014

Available to ERS Clients only

When Apache Hadoop, the open source poster child for big data technologies, hit the streets eight years ago, it rattled the cages of traditional BI and data warehousing professionals. There was a lot of speculation about whether Hadoop would replace existing infrastructures, or complement them, or just be another hyped-up technology fad. We now know that Hadoop is not a fad nor is it here to replace existing infrastructures. The discussion on the table now is how to best utilize Hadoop - even if you don’t have big data.

Read More »

Miss The Right Connections At Your Own Peril

By Bill Franks, Nov 12, 2014

While connection analytics won’t solve all of your organization’s problems, it can probably help solve some of them better. Given that it isn’t widely adopted yet, there is a chance to get a competitive advantage by putting it to use first. Ignore connection analytics at your own peril!

Read More »

Demand Forecasting for the Retail Sector

By Robert Handfield, Nov 11, 2014

Available to ERS Clients only

As more data becomes available in the grocery and retail environment, organizations are re-thinking their supply chain processes to drive increased automation, improved performance, and increased inventory turns. They are also re-thinking the design of their supply chains, thinking about how much of their product goes through distribution centers, distributed to stores, or shipped directly from suppliers to store locations.

Read More »

Progressive companies, those truly ready to adapt to the growing digital presence are going to run into hurdles, make bad decisions, and experiment with new ideas. These are the companies that will learn from their mistakes, they will do testing and learn quickly what works and adjust accordingly; they will be able to measure incremental changes to the business.

Read More »

Intel’s View of the Role of Technology and Data to Transform Healthcare

By Chris Gough, Ketan Paranjape, Nov 07, 2014

Available to ERS Clients only

Intel’s commitment to the healthcare market can be traced around the globe from devices and ruggedized computing platforms to mobile diagnostics and telemedicine to new cloud computing efforts. Each of these examples aligns with Intel’s healthcare vision to “bring computing technologies and solutions to improve healthcare cost, quality and access to billions of people in the world.” As outlined by Eric Dishman, General Manager of Intel Health & Life Sciences, there are four global megatrends that Intel is addressing: Global Aging, Caring in Teams, Paying for Value and Personalizing the Next Generation.

Read More »

Elevating Customer Analytics Initiatives and Building the Coveted Holistic Customer View

By Christy Maver, Nov 05, 2014

Available to ERS Clients only

The technology revolution that has occurred across web, mobile and social communication channels over the past two decades has moved marketing from the traditional 4 P’s (product, price, place, promotion) to a new world with content marketing, sentiment analysis, and dual-screen promotion where the customer is increasingly in charge. For the past two years, CMOs have forecasted an 8-9 percent yearly increase in budgets devoted to customer relationship management.2 This investment underscores the shift from one-way customer communication to two-way customer engagement.

Read More »

Making Meaningful Predictions in the Fast Lane

By Mark Dobeck, Jerry Baulier, Scott McCormick, Oct 10, 2014

Available to ERS Clients only

Event stream processing uses wireless and wireline transmissions of streaming events/transactions at rates of up to millions of events per second from multiple sources; the transmissions are real-time and low latency to the microsecond level. The use of and interest in event stream processing continue to evolve in virtually every industry and market.

Read More »

I recently had a meeting with one of the largest companies in the world, where we discussed concerns about ongoing maintenance and, more importantly, ongoing repair required for analytics processes. The conversation helped solidify in my mind a major disconnect that often occurs when organizations deploy an analytics process into a production setting. Let’s walk through that disconnect here.

Read More »