data management for analytics

4月 292015
 

In the last post, we talked about creating the requirements for the data analytics, and profiling the data prior to load.  Now, let’s consider how to filter, format and deliver that data to the analytics application. Filter – the act of selecting the data of interest to be used in the […]

The post Filter, format and deliver: Managing data for analytics appeared first on The Data Roundtable.

4月 282015
 

In the era of big data, we collect, prepare, manage, and analyze a lot of data that is supposed to provide us with a better picture of our customers, partners, products, and services. These vast data murals are impressive to behold, but in painting such a broad canvas, these pictures […]

The post Junk drawers and data analytics appeared first on The Data Roundtable.

4月 272015
 

One area that often gets overlooked when building out a new data analytics solution is the importance of ensuring accurate and robust data definitions. This is one of those issues that is difficult to detect because unlike a data quality defect, there are no alarms or reports to indicate a […]

The post Accurate data definitions: The keystone to trusted data analytics? appeared first on The Data Roundtable.

4月 232015
 

What data do you prepare to analysis?  Where does that data come from in the enterprise?  Hopefully, by answering these questions, we can understand what is required to supply data for an analytics process. Data preparation is the act of cleansing (or not) the data required to meet the business […]

The post Data preparation: Managing data for analytics appeared first on The Data Roundtable.

4月 152015
 

In the last few days, I have heard the term “data lake” bandied about in various client conversations. As with all buzz-term simplifications, the concept of a “data lake” seems appealing, particularly when it is implied to mean “a framework enabling general data accessibility for enterprise information assets.” And of […]

The post Business needs and performance expectations: Data management for analytics appeared first on The Data Roundtable.

4月 092015
 

As part of two of our client engagements, we have been tasked with providing guidance on an analytics environment platform strategy. More concretely, the goal is to assess the systems that currently compose the “data warehouse environment” and determine what the considerations are for determining the optimal platforms to support […]

The post Differentiating process, persistence, and publication: Data management for analytics appeared first on The Data Roundtable.

4月 062015
 

You may feel like the world is moving faster than ever. If so, then you can take solace in two facts: You're not alone in feeling this way. You're right. It is. Celebrating the 25-year anniversary of the Web, The Economist ran a piece examining the increasingly rapid adoption of new technologies. […]

The post The need for speed: A look at real-time analytics appeared first on The Data Roundtable.