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Data Management

by Steve BogdonMonday, October 4, 2010

Data ManagementIn October, Dashboard Insight will be focusing on data management, something of interest to all in the BI community.  We'll take a close look at issues related to data mining, data warehousing, data marts, data connectivity, ETL and more.

We realize this is a huge subject area, since nearly every data and data warehouse subject can fit under the umbrella.  Still, we'll do our best to compartmentalize the topic and talk about verticals like financial data management and healthcare data.  We also plan to publish articles on "taking your first steps towards implementing a data manage strategy" as well as "starting a business approach to data management through data governance."

There's a wide range of possibilities here and that's why we're casting a broad net.  So join us in October as we shine a light on a variety of issues related to data management.


We Will Never Walk Alone On Our Information Journey

SThe emergence of business intelligence (BI) was an important milestone in data management. For the first time, it became possible to work with an organization's entire body of data. Information was now ready to be transformed into knowledge that could be used in a meaningful and actionable way. Business intelligence is an umbrella term that covers many sub components, such as data warehousing, data marts, data mining, data quality, master data management (MDM) and controversial areas such as corporate performance management (CPM).

by: Muzaffer Yontem, DSS Technology

Is Your MDM Software Serving You Well?

Over the past few years, Master Data Management (MDM) has become an established discipline, and as a result there clearly exists a substantive MDM installed base. While many organizations have grown their business operations thanks to their MDM technology investment, others have simply grown apart from them. As established vendors and new best of breed vendors begin to roll out "next generation MDM offerings," many end users are re-evaluating their existing efforts to ensure their current solution is capable of meeting their over-arching business requirements and managing different master data domains.

by: Charles Greenberg, Data Foundations

You In Data

Few now fail to recognise the tangible value that well done data visualization and dashboarding bring to a business: efficiency, targeted sales, better strategic decisions etc. But how about data collection and analysis on a personal level?

by: Robert Chapman, We Are Cloud

What To Look For In A New Data Warehouse

Using dashboards to get broad visibility into business is gaining popularity. Because of advancements in technology, organizations can use BI without a full business intelligence infrastructure. For organizations that want to keep historical records of operations, meet compliance, identify risk, implement governance initiatives, etc. implementing a data warehouse becomes essential. When companies look for their first data warehouse, they may not know where to start.

by: Lyndsay Wise, WiseAnalytics

Data Analysis with R

I’ve contributed six “pieces” to Dashboard Insight (DI) since first meeting the site back in the fall. Of the six, five have related to the R Project for Statistical Computing. A numbers guy, I won’t change that pattern now. This column is the first in a series that focuses on using the R language, statistical procedures, and graphics capabilities to explore, analyze, and present data. The hope is that the articles might convince a few BI analysts to take the plunge with an outstanding, freely-available product.

by: Steve Miller, OpenBI

Real Life Data Governance

For many organizations, data has become the most important corporate asset. Better data means better productivity, ameliorated risk exposure, heightened customer service/satisfaction, robust business intelligence, and increased regulatory compliance. As data proliferates throughout the enterprise at increasingly exponential rates, CIOs are finding it more difficult to fully understand the breadth of their data assets and assure the timely delivery of data to internal business users and external customers with acceptable levels of quality and security. Although data is a commodity, the stewardship of data is not. The cutting-edge management of data—data stewardship and data governance—and its supporting infrastructure has become a leading mechanism in sustaining competitive advantage and growth.

by: William Laurent

JasperSoft and OpenBI team up to discuss Modern Open Source Solutions - Podcast

Currently, the BI landscape is changing. Offerings are expanding to enable organizations more choices when looking to deploy a BI solution or to increase their current use of BI. Whether because of newer solutions targeted to the mid-market, new product offerings, or uncertainty based on roadmap gaps due to acquisitions, organizations are looking for alternatives to traditional BI. Extend these changes with the focus on bringing Web 2.0 concepts into the workplace, and organizations are looking for better ways to interact with their IT environment. Unfortunately for BI, ease of use was never considered one of its strong points.

by: Lyndsay Wise, WiseAnalytics

Trends in Data Management

As master data management (MDM) and data integration (DI) initiatives become more common within organizations, many companies move from individual data-related projects to a broader approach to data management (DM) in general. The realization that information drives business decisions leads businesses to look more closely at how they are managing their information assets, including data quality, data cleansing, and data profiling initiatives. The combination of initiatives is leading organizations towards a more holistic approach to the way they view and implement data management practices.

by: Lyndsay Wise, WiseAnalytics

Making Data Make the Difference

Anheuser-Busch arms its distributors to U.S. retail stores with mobile devices that record critical facts about the shelf space, displays, pricing of its competitors as well as its own inventory levels and shelf situation. BudNet, as the system is known, allows the company to know details such as whether a six-pack of Bud Light was warm or cold when bought, whether it was on sale, and what the prices were at neighbouring stores.

by: Harvey Schachter

Dashboard Insight will be adding Data Management articles all month.

Please check back often.

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