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)



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

PODCAST: Cloud Data Warehousing


  In mid-October, I had the opportunity to sit down with Jon Bock of Snowflake Computing to discuss the world of cloud data warehousing - it's not just implementing your "father's" EDW in the sky...   Listen to segment #1 (approx 9 mins) Jon Bock and I discussed the new era the data warehouse: Agility [...]



By | October 19th, 2015|Uncategorized|0 Comments

Big Data and the Data-Driven Enterprise


  Since its introduction, the idea of “big data” has been widely associated with a single data management platform—Hadoop. Hadoop’s popularity as a platform to store and process large amounts of multistructured data probably has a lot to do with this association. However, Hadoop is not the full answer to the question of “what is [...]



By | August 3rd, 2015|Big Data, Business Analytics|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

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 12th, 2015|Data Integration, Data Management|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 [...]



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