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THE DATA DOWNLOAD

As a business intelligence consulting company, we pride ourselves on being able
to deliver on our projects as well as provide good quality content to our readers.

"One Source of Truth": Common BI Terms Defined

Apr 11, 2017 10:22:07 AM   Datasource

Topics: Business Intelligence, Blog

By: Steven Dine, President of Datasource Consulting, LLC

 

I am always dismayed when reading articles and analyst reports that include a statistic of the percentage of Business Intelligence (BI) initiatives that fail or do not meet customer expectations. Most of those articles and reports go on to describe the now well-known reasons for why these types of initiatives fail, including lack of high-level sponsorship, poor data quality, low level of functional participation, unacceptable query response times, etc. What I never see mentioned, but often see in practice, is the incompatibility between the requirements and the implemented architecture in consultant-led initiatives.  How does this happen when nearly every consulting organization has a BI implementation methodology and experienced resources in implementing BI programs? While there are many causes, one often overlooked reason is the inconsistency in how BI consulting companies define the basic BI concepts. Many times the definitions depend on which consultant at the company you ask. I have yet to find these definitions posted on even the largest BI consultancy websites. 

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8 Steps to Successful Data Virtualization

Mar 7, 2017 12:01:00 PM   David Crolene

Topics: Data Governance, Data Virtualization, Blog, Master Data Management, Enterprise Data

By:  David Crolene, Principle Solution Architect

The verdict is in and Data Virtualization (DV) is here to stay.  This is driven by many factors such as the maturation of vendor technologies (e.g., heterogeneous join optimization, row level security, and high availability), increases in computing power, and a decrease in time end users are willing to wait for access to data. 

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Data Governance Challenges: Executing

Feb 24, 2017 2:30:43 PM   Datasource

Topics: Data Governance, Blog

Data Governance Implementation


By: Datasource

So far in this series on Data Governance, we’ve covered four critical elements including:

Data Governance Challenges: Understanding the Problem

Data Governance Challenges: Strategy

Data Governance Challenges: Organizing

Data Governance Challenges: Communicating

If you’ve missed any of these articles, feel free to follow the links above.

In this article, the final article in the series, we’ll cover your Data Governance Execution and Implementation plan. This is where the rubber truly hits the road. So, without further ado, let’s jump right into the fifth section on Data Governance – Data Governance Execution and Implementation Plan.

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Data Governance Challenges: Communicating

Feb 24, 2017 2:30:23 PM   Datasource

Topics: Data Governance, Blog

Data Governance Communicating & Marketing


By: Datasource

A Data Governance Program is a long term project that will completely alter the way data is processed at your company.  Building momentum, gaining a following and showing successes will be critical for your long term success.  Therefore, it’s a good practice to work with the marketing team to develop a marketing plan for your Data Governance Program.

Listed below are four separate tips for communicating your Data Governance Program to the masses.

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Data Governance Challenges: Organizing

Feb 24, 2017 2:29:59 PM   Datasource

Topics: Data Governance, Blog

Data Governance Organizing


By: Datasource

How visible is your Data Governance program?  Do you have the right levels of support to effectively drive your program?  Does everyone in the organization know what is transpiring around them?  Part four of our continuing series on Data Governance focuses on establishing the Data Governance Council and involving the right key players to help drive the Data Governance initiative.  Having the right key players on your team will help shine a spot light on the Data Governance program and sustain the momentum.

Data_Governance_Part_4.jpg

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Data Governance Challenges: Strategy & Planning

Feb 24, 2017 2:29:39 PM   Datasource

Topics: Data Governance, Blog

Strategy & Planning


By: Datasource

Welcome to Part 3 in our multi-part series focused on Data Governance.  In our previous article titled Data Governance Challenges: Understanding the Problemwe focused heavily on how to identify pain points, ways to understand the business value, and how to improve the overall program focus.  In this article, we’ll continue with the next step for a Data Governance program and outline and developing the overall Data Governance strategy. This section will also cover one of the most pressing issues which is where to find the money for your Data Governance Program.

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Data Governance Best Practices

Feb 24, 2017 2:29:04 PM   Datasource

Topics: Data Governance, Blog

Data Governance Best Practices


By: Datasource

Data Governance programs can be fraught with obstacles and hurdles; however, as mentioned in the first article in our Data Governance series, Data Governance Framework, Data Governance is a key component to any company that truly wants to leverage the full value of their data.

In an effort to help you build and receive the most benefit from your Data Governance Program, we’ve put together this article on the Top 20 Data Governance Best Practices.

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Data Governance Framework

Jan 31, 2017 3:28:00 PM   Datasource

Topics: Data Governance, Program Management, Blog

Five Components of a Solid Data Governance Program


By: Datasource

Data Governance is a key component to any company that wants to leverage the full value of their data.  A solid Data Governance framework helps ensure quality, reduces risk, and establishes and reiterates best practices.

At Datasource Consulting, we look at Data Governance Programs as an evolution. We believe there are five critical elements to develop a solid framework for a Data Governance Program.

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5 Steps to Better Test Data Management

Jan 31, 2017 10:37:00 AM   Datasource Consulting

Topics: Blog, Test Data Management

Overcome Common Hurdles to Building a Strong Test Data Management Program


By: Datasource Consulting

For businesses seeking optimal functionality, Test Data Management (TDM) is a crucial component of the organization’s IT structure and ongoing business strategy. Without TDM, your business is at risk for production environment application failures and subsequent breach fines, which have increased 23 percent over the past two years and can cost up to $500,000 per incident (Source: 2015 Cost of a Data Breach Study: Global Analysis).

At Datasource, we hear from multiple companies that the absence of proper test data is the chief culprit behind lackluster testing plans and problems in production. Applications require different types or volumes of test data, which makes the process even more challenging. Insufficient test data causes nearly one-third of the incidents in QA/non-production environments, and is a major reason why nearly two-thirds of business applications reach production without being properly vetted. 

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Data Governance Challenges: Understanding the Problem

Jan 27, 2017 3:44:00 PM   Datasource

Topics: Data Governance, Program Management, Blog

Understanding the Problem


By: Datasource

As outlined in the first article of the series, Data Governance Framework: Five Essential Components of a Solid Data Governance Program, Data Governance is a key component for many organizations.  However, many companies don’t know where to start. At Datasource Consulting, we manage and build Data Governance Programs for many of our clients and frequently start by understanding the Data Governance challenges facing their organization.

(FYI – Would you like us to evaluate and fine tune your current Data Governance Program?  Please call us at 888-453-2624 or complete the form on our contact us page.)

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