Bringing business value to data management – Informatica’s new branding strategy


For the past twelve years I have covered the business intelligence and data management markets and have always been impressed by the continued technological advancements with data and analytics. New software developments, the increasing adoption of cloud and big data, and IoT integration with broader analytics initiatives are helping organizations push their data management strategies [...]



By | May 25th, 2017|Business Intelligence, Lyndsay Wise|0 Comments

Expanding analytics to include embedded applications


Many embedded analytics systems are leveraged within third-party applications as customer-facing solutions that provide access to analytics within other applications. We use them all the time by looking at our smart meter usage, online investment portfolios, or our athletic performance. The reality is that we use these embedded applications on a regular basis in our [...]



By | December 20th, 2016|Business Intelligence, Lyndsay Wise|0 Comments

Developing an Information Management Strategy Within the EMA Hybrid Data Ecosystem


Enterprise Management Associates (EMA) has recognized that big data implementers and consumers rely on a variety of platforms to meet their big data requirements. These platforms include new data management technologies such as Hadoop, MongoDB, and Cassandra, but the collection also includes traditional SQL-based data management technologies supporting data warehouses and data marts; operational support [...]



By | March 13th, 2015|Business Intelligence, John Myers|0 Comments

Return on Investment (ROI) of Data Science as a Service


In skiing, the “black diamond” run or ski slope is often referred to as “high risk/high reward.” You receive lots of “reward” skiing the black diamond slopes, but you have a significant amount of “risk” associated with variable terrain, such as the presence of trees and the possibility of injury. However, the black diamond slopes [...]



By | August 18th, 2014|Business Intelligence, John Myers|0 Comments

EMA Research: Enabling Enterprise IT Management to Optimally Support Big Data


What does Big Data mean to traditional enterprise IT? Organizations of any size and industry are becoming more and more aware of the incredible importance of capturing, managing and analyzing the data available to them. The more comprehensively companies are able to tap structured and unstructured data sources, the quicker they can refresh this data [...]



By | February 17th, 2014|IT Management, Systems Management, Torsten Volk|0 Comments

Early Christmas Data Management and Integration Presents from Attunity, IBM, and MuleSoft


Many IT suppliers in the Northern Hemisphere, along with many other industries except for retail, are settling in for a long winter’s nap. Apparently data management and integration software vendors, however, didn’t get the memo about a slowdown or temporary shutdown during the latter half of the December. For example: On December 18th, Attunity, a [...]



By | December 19th, 2013|Evan Quinn|0 Comments

Data Management: In-Memory Could Be the Mother of All Wisdom


As I review my series of #100linesOnBIDW blogs over the last couple of weeks, I found myself looking at the Data Management posting. I covered when to apply schemas, Big Data, and data governance. What I left out was technical implementation concepts for data management systems like row vs. column orientation; in-memory vs. spinning disk [...]



By | February 27th, 2013|Business Intelligence, John Myers|0 Comments
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