While large data sets may provide significant value in certain cases, data diversity and integrating smart data points will provide more consistent actionable insights and high value intelligence leading to better decision-making.
For example, consider NFL football data. Focusing on large football game data sets is usually not helpful and often misleading creating…
Natural language processing (NLP) involves machine learning, artificial intelligence, algorithms and linguistics related to interactions between computers and human languages. One important goal…Continue
Added by Michael Walker on August 20, 2013 at 7:27pm — No Comments
Batch data processing is an efficient way of processing high volumes of data is where a group of transactions is collected over a period of time. Data is collected, entered, processed and then the batch results are…Continue
Selecting the right Business Intelligence (BI) and Analytics Platform for a unique organization is challenging. Each organization - both in the public and private sectors - has a legacy IT ecosystem as well as unique competencies, skills, knowledge / business processes and people. As a result, the…Continue
Added by Michael Walker on February 13, 2013 at 9:30pm — No Comments
Recent surveys suggest the number one investment area for both private and public organizations is the design and building of a modern data warehouse (DW) / business intelligence (BI) / data analytics architecture that provides…Continue
Transforming into a data-driven organization - turning information into actionable insights is a three (3 ) part strategy:
• Technology – build a modern BI/DW architecture & analytics ecosystem with…
Added by Michael Walker on November 14, 2012 at 9:22am — No Comments
The emerging "Data Stack" or "Data Layer" is in full transition and can be viewed and defined many different ways. The ability to capture, analyze and learn from data generated at unprecedented scale, combined with…Continue
Added by Michael Walker on October 10, 2012 at 10:52am — No Comments
Added by Michael Walker on September 26, 2012 at 10:00am — No Comments
The goal of Data Analytics (big and small) is to get actionable insights resulting in smarter decisions and better business outcomes. How you architect business technologies and design data analytics processes to get valuable, actionable insights varies.
It is critical to design and build a data warehouse / business intelligence…
Added by Michael Walker on September 19, 2012 at 11:57am — No Comments
The goal is to design and build a data warehouse / business intelligence (BI) architecture that provides a flexible, multi-faceted analytical ecosystem for each unique organization.
A traditional BI architecture has analytical processing first pass through a data warehouse.
In the new, modern BI architecture, data reaches users…Continue
Added by Michael Walker on September 12, 2012 at 11:53am — No Comments
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Optimization answers the question: How do we do things better? What is the…Continue
Companies, products, and technologies included in the Big Data Landscape:
Added by Michael Walker on August 30, 2012 at 2:58pm — No Comments
The Hadoop stack includes more than a dozen components, or subprojects, that are complex to deploy and manage. Installation, configuration and production deployment at scale is challenging.
The main components…Continue
Added by Michael Walker on August 22, 2012 at 9:40am — No Comments