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 Qlik unSummit and QlikView 12


This week in the Analytics Exchange "weekly" podcast,  Alison Jepsen chats with Lyndsay Wise and I about: Our recent trip to the Qlik unSummit in Austin Texas Release announcement of QlikView 12 Upcoming developments for Qlik Sense in 2016 Growth of Qlik into an analytics platform company Listen to the entire podcast (approx 9mins)



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-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 25th, 2013|Business Intelligence, Data Management, Data Warehouse|0 Comments

Actionable Intelligence in 2013: Action will Define You


If I told you in September that the Baltimore Ravens would win the Super Bowl in February and you did nothing with that information ( i.e. place a bet, announce your prognostication skill, etc. ), was my prediction worth anything? Much like “if a tree falls in the forest and no one is there to [...]



Knowledge Delivery in 2013: Imagination is More Important than Knowledge


Albert Einstein once said: “Imagination is more important than knowledge. For knowledge is limited to all we now know and understand, while imagination embraces the entire world, and all there ever will be to know and understand.” And I think that the wonderful world of Knowledge Delivery (aka Data Visualization, Reporting, etc.) needs to think [...]



By | February 11th, 2013|Business Intelligence, Data Visualization, Data Warehouse|0 Comments

Business Analytics in 2013 – A Model Is Useful If…


Edward de Bono, a noted expert on creative thinking, once said: The purpose of science is not to analyze or describe but to make useful models of the world. A model is useful if it allows us to get use out of it. Business Analytics is very similar to this concept of science, and specifically, [...]



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
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