In the war on noise, contextual applications serve as crucial ammunition.
The Age of Content
With all the hype around Big Data, we’ve become extremely proficient at collecting data – be it from enterprise systems, documents, social interactions, or e-mail and collaboration services. The expanding smorgasbord of data collection points are turning increasingly portable and personal, including mobile phones and wearable sensors, resulting in a data…Continue
Added by Alissa Lorentz on April 25, 2013 at 3:11am — No Comments
What is buzz marketing? In the strict sense of the term, buzz marketing is creating noise around a product, service, company or brand. For example you can recruit consumers, preferably proactive volunteers who influence their peers, and help them to try your products in good condition before pushing them to talk about their experience.
The buzz is one of the most powerful forces in the market, and knowing how to master this important marketing channel is critical. Word of…
Added by Michel Bruley on March 7, 2013 at 4:21am — No Comments
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
IT market studies expert indicate that the advanced analysis of various data and the management of an increasing volume of data, are among the five priorities large enterprises CIOs and companies at the forefront of the world of internet. Big Data is thus increasingly important, and a growing number of companies complete their decision-making infrastructure, with new analytical platforms to improve their efficiency and profitability.
First experiences Big Data observations show…
Added by Michel Bruley on February 4, 2013 at 10:53pm — 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
LinkedIn was founded in 2003, is currently revenue 243 million and employs 1797 people. This is not what we call a large company. However, LinkedIn has 175 million members in 200 countries including 50% outside the U.S., two new members join the network every second, and analysts said that all "executive" of the Global 500 are members. Under these conditions, LinkedIn is facing a high volume of data to process. Indeed their information system must support 2 billion a year of research carried…Continue
Added by Michel Bruley on December 3, 2012 at 3:16am — No Comments
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
Today Analytics is the heart of a Business. Companies are challenged with a high volume and broad array of data which requires active and effective analysis. Analysis can help them make enhanced and improved business decisions, and hence help the business to maintain profitability. "Companies need to compete on the basis of key business processes, and how they optimize these processes with analytics," says Thomas Davenport, professor and director of research, Babson College, USA. Business…Continue
Added by AcademyForDecisionScience&Analyt on August 16, 2012 at 1:40am — No Comments
A Big Data decision support system requires particular capabilities in terms of volume, variety of data and processing speed.
Today companies to improve their knowledge models and forecasts, do not hesitate to take into account hundreds of factors, and do not hesitate to bring up new means of analysis that can handle large volumes of data. But the processing of large volumes of data is a challenge for traditional BI infrastructure. Storing large volumes is not a problem, but…
Added by Michel Bruley on July 31, 2012 at 11:03pm — No Comments