THE DATA DOWNLOAD

Topics: Master Data Management

Q: How instrumental was the ability to get the organization to a point where business processes became repeatable, and led to a more efficient data governance model where naming standards and taxonomy conversations made progress?

Topics: Data Governance

Data governance has a bad rap. Rightly or wrongly, people think that it’s just too much to take on, that it introduces additional – and unnecessary – layers of bureaucracy, that its procedures are onerous, confusing, and restrictive. In practice, unfortunately, this is frequently the case.

Topics: Data Governance

With the focus that companies have on everything “data” – analytics, reporting, dashboards, Big Data, predictive analytics, decision science and so on – data governance is also increasing in importance. A good data governance program gets business stakeholders involved in deciding on data definitions and supporting or sponsoring consistent data usage across an organization.

Topics: Agile, Data Governance, Enterprise Data

Many organizations are now recognizing the need for data governance but are still struggling with the right way to structure it. A good approach: be agile!

Topics: Data Quality

Recently, we outlined the top five data quality problems in enterprise data management and offered best practices to solve those challenges. This post explores the topic further to highlight five additional roadblocks associated with managing the critical data of an organization. Organizations that take time to decipher the root cause behind data challenges will run more successful enterprise data programs. They’ll also have a foundation in place for sustainable growth with an enterprise-wide view of customers, manufacturing, supply chains, sales, and operations. 

Topics: Data Quality

Top Ten Data Quality Problems: Part I

By: Sally McCormack, Data Quality Competency Director, Datasource Consulting, LLC

Problems with data quality are costly to an enterprise. When facing the potential for missed opportunities, uninformed decision-making, non-compliance sanctions, and low customer satisfaction, today’s business leaders are making data quality a priority in their organizations’ data management programs. An Experian report found that 88 percent of companies see a direct effect of inaccurate data on their bottom line, losing an average of 12 percent of their revenue. In a similar study by Database Marketing, organizations estimate that they could increase sales by nearly a third (29%) with corrected customer data. (Source: Internal Results)

Topics: Business Intelligence, Blog, Cloud, Server Administration

Data Warehouse Appliances: Lessons from the Trenches

By Jerry Locke & Steve Dine

Over the past few years data warehouse (DW) appliances have become a viable option for business intelligence (BI) programs looking to load and process large data volumes as well as reducing query execution times. However, like most architectural decisions, there are many factors to consider when choosing to implement a DW appliance that aren’t usually highlighted during the sales presentation. This article will present some observations and lessons learned from a recent project in which we implemented a DW appliance for both the data warehouse and the data mart layers of the client architecture.

Topics: Tableau, Blog, Enterprise Data

Steps for Using Tabeau

Tableau is a robust visualization tool capable of serving many roles in modern organizations. From data discovery to ad-hoc analysis to enterprise reporting, Tableau provides the functionality to give business users quick and useful access to their data. Report scheduling and Data Governance capabilities enhance this access and the quality of reporting. Many businesses now seek to utilize Tableau as an enterprise reporting tool, but they must take the necessary steps to be successful and ensure Tableau is the correct software choice for their needs.

Topics: Press Releases

ACQUISITION BOLSTERS EXL’S ABILITY TO DESIGN AND IMPLEMENT DATA STRATEGIES, DATA ARCHITECTURE AND BUSINESS INTELLIGENCE SOLUTIONS

NEW YORK, Oct. 27, 2016 (GLOBE NEWSWIRE) — EXL (NASDAQ:EXLS), a leading Operations Management and Analytics company, today announced that it has acquired Datasource Consulting, LLC, a Denver-based company specializing in Enterprise Data Management and Business Intelligence. The acquisition enhances EXL’s capabilities to advise clients on data management and governance strategies, architect and implement their data infrastructures, and manage their data assets on an ongoing basis.

Topics: Blog, Enterprise Data

By: Matt Caton, Senior BI Analyst, Datasource Consulting, LLC and Steve Dine, President, Datasource Consulting, LLC

Introduction

In the trenches, we constantly look for techniques to provide more efficient and effective reporting and analysis. For those that utilize cubes, multidimensional databases, or dimensionally-modeled relational (DMR) models, multi-dimensional expressions (MDX) can be leveraged for both solving complex report requirements and providing deeper insights to report consumers.