Analytical Resolutions for Technologists and Tech Teams in 2017

SaaS Business Intellingece Top Ten Checklist

Ahhh, the annual resolutions list! A time-honored tradition when we all look at the new year as an opportunity for a fresh start. res·o·lu·tion ˌrezəˈlo͞oSH(ə)n/ noun 1. a firm decision to do or not to do something. synonyms: intention, resolve, decision, intent, aim, plan, commitment, pledge, promise Sometimes these are crafted during the last couple [...]



PODCAST: Discussing Big Data, Integration and Security


  In mid-November, I had the opportunity to chat with Informatica's Murthy Mathiprakasam - Product Marketing Manager - about the practices of big data, data management and integration. Listen to segment #1 (approx 10mins) To start our conversation, we discussed differences in implementing big data projects around Manual implementation vs. automation in big data applications [...]



By | November 23rd, 2015|Big Data, Data Integration, Data Management, Uncategorized|0 Comments

Dos and Don’ts for the Data Scientist


Review of Statistics Done Wrong by Alex Reinhart Since the advent of the big data era, organizations have been crying out for data scientists. Initially it was finding the true data scientist. But as these resources were considered scarce, it was a search for people who could hand-code analytical models in a Hadoop environment.  As [...]



By | May 14th, 2015|Advanced Analytics, Big Data|0 Comments

How the EMA HDE Information Management Layer Impacts the Growth of Analytical Platforms


The ability to execute in a low latency time frame is a core component of the concept of next generation data management architectures such as the Enterprise Management Associates Hybrid Data Ecosystem (HDE). One of the key business drivers of the HDE is speed of response,  which stems from an organization’s drive to execute faster [...]



By | April 23rd, 2015|Business Intelligence, Data Integration, Uncategorized|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 [...]



Why Data Analytics as a Service?


Waaay back in the day (say 2002), organizations would ask themselves: “If our customer and prospect (potential customer) information is our most valuable asset, why would we EVER trust it with a 3rd party who would put it with the customer information from other companies?” Today, organizations do not hesitate to start their sales endeavors [...]



Data Management in 2013: Warning of the Big Data Wolf


When Aesop created the fable about the shepherd boy who cried wolf, the message was clear: “How liars are not rewarded: even if they tell the truth, no one believes them” If analysts like myself and others as well as the mainstream press (ie Forbes, Harvard Business Review, Economist ) continue to shout about Big Data [...]



By | January 28th, 2013|Business Intelligence, Data Management, Data Warehouse|0 Comments

Is there a NoSQL Identity Crisis


As Big Data initiatives mature into enterprise data sources supported by NoSQL products for analytics and operational systems, a clash of cultures is on the horizon (if not here already). Traditional IT implementations teams and their top-down programs rarely see eye to eye with the grass roots culture of NoSQL platform operators. But this divide [...]



By | February 28th, 2012|Big Data, Business Intelligence|0 Comments

Corporate Data Return on Investment


Informatica Goal: Maximize Return on Data The theme of last week’s Informatica Analyst Conference was utilizing the “secular megatrends” of information technology to energize data integration across organizations at an enterprise scale.  These megatrends, described as trends we can all agree upon, are the following: Cloud Computing Social Media Mobile Big Data Informatica’s message is [...]



NoSQL Implementation Drivers


If you look at the history of Big Data requirements (volume, velocity and variety), and the NoSQL platforms supporting those requirements, you see a history of organizations and development teams breaking the mold of traditional information technology (IT) programs. Instead of following the traditional IT methodologies to solve the Big Data issues, these teams pushed [...]



By | February 9th, 2012|Big Data, Business Intelligence|0 Comments
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