IBM Industry Data Models in the Enterprise

Learn how IBM Industry Data Models can help:

  • Technology decision makers gain the knowledge needed to make an actionable decision on whether an IBM Industry model is a good fit for a situation
  • Determine how best to lead a successful implementation
  • Give information technology leaders an understanding of IBM Industry Data Models, their components, their usage and how they fit in the overall information ecosystem of an organization
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EBook: Gaining a Competitive Advantage with Data

Data is crucial in today’s business world and making smart data decisions upfront provides great leverage for successful long-term business results.

This ebook, written by Jim Harris of OCDQ Blog, pulls the insights from his interview with William McKnight, an internationally recognized authority in information management. Insights include:

  • Understanding the value of information
  • Data and ROI
  • Change management and data science

Big Data is no longer an opportunity. It is an asset that your organization must use. This ebook will help you grow your business with data.

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How to Deliver a Comprehensive Big Data Analytics Framework to Communication Service Providers

The communications service provider (CSP) industry has undergone a dramatic shift in recent years. The
traditional model of competing on subscription plans is no longer an adequate business strategy.

This research report will explain how CSPs establish a framework for their analytics as well as review the
business drivers for telcos and the key benefits that big data analytics provide. It will also address the
impact of the business drivers and the advantages of streaming analytics, combined with the ability to
harness big data to meet several CSP competitive requirements. It will conclude by summarizing this
comprehensive big data analytics framework for CSPs.

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NoSQL Evaluator’s Guide

This paper is for technology decision makers confronting the daunting process of selecting from this fast-growing category of data management technologies. it will introduce a set of comparative features that should be used when selecting a NoSQL technology for your workload and your enterprise. there are many common features as well across NoSQL  databases, but even these have implementation nuances that should be understood.

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Why All Enterprise Data Integration Products Are Not Equal

Being skillful in data integration allows an enterprise to maximize business performance; however, your productivity and operational costs vary depending which enterprise tool you select.

My new white paper highlights modern data integration challenges, the choices involved in tool selection, a product selection checklist, and reasons why Talend Enterprise Data Integration should be considered for your next data integration project.

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Top 5 Considerations for Enabling Self-Service Business Analytics

Businesses today need to consider the diminishing nature of what is unknown. With more data under management than ever before, organizations are increasingly embracing analytics as a way to predict behavior and intervene to achieve better results.

While few would argue with the notion of self-service business analytics, it takes considerable discipline, tactics and software to make it happen. Setting up the self-service business analytics environment requires special consideration of many factors.  This paper lists the top five.

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Building the Architecture for Analytic Competition

Lost amid the conversation on big data and the accelerating advancement of just about every aspect of enterprise software that manages information are the things that hold it all together. Yet this is critical: information-management components must come together in a meaningful fashion or there will be unneeded redundancy and waste and opportunities missed. Considering that optimizing the information asset goes directly to the organization’s bottom line, it behooves us to play an exceptional game— not a haphazard one—with our technology building blocks.

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Analytics and Information Architecture

Analytics are forming the basis of competition today.  This white paper addresses what distinguishes analytics and answers the question are we doing analytics in the data warehouse?  The paper further talks about the contending Platforms for the Analytics Workload and introduces the ParAccel Analytic Database as a key component of Information Architecture.

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Solving Data Integration Challenges with SQL and NoSQL

This white paper provides guidance around information management data store category selection including the NoSQL movement and how to prepare for success in this new ecosystem – not the least of which is to have robust data integration capabilities for the heterogeneous environment.   As one senior technology leader recently said to me: “There are a million architectures today for my data.”  How true!

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Delivering a Comprehensive Analytics Framework for Converged Services

Communications companies are currently embroiled in a series of initiatives to enable the convergence of systems to deliver converged services – the utilization of a single network to transport all information and services (voice, data and video) by encapsulating the data into packets.  Providing converged services is rendering inadequate the isolated systems that are in place in many of these companies.  It does not take long in this systems evolution to be reminded of the immense importance of access to high-quality, well-performing and integrated information in support of the transition.  Learn how the analytic database supports the needs of Converged Systems.

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