Templates for data models can be found for different industries, such as education and learning, healthcare, energy and utilities, banking and financial markets, insurance, telecommunications, retail, aviation, and more others. As a quick FYI, these are often put together by standards bodies or vendors of different systems and databases. They can also go by different

In any domain in any organization, great dashboards are valuable not only because they can sum up important information and offer a single view of data, but also because they are simple to use and offer a quick, unambiguous way to draw meaningful conclusions from data. Developing and designing such powerful dashboards does not come

Having accurate and current addresses for your constituents is one of the most important thing in your database. You’re using this information to engage with them, solicit them, inform them, communicate with them, and learn more about them in order to develop and evolve a two-way relationship. So why don’t we then have good addresses?

Part 2: This is the second and final article on tools for managing your report inventory. For the first article, please read “Tools for managing your report inventory (Part 1 of 2)“. 4. Data governance tool Dedicated data governance tools can track information about reports as individual elements in a data dictionary or business glossary, but these

If you’ve already started or planning to start a data governance program to support your data quality improvement goals, you need a structured way of tracking your data quality issues and their status. There are different ways of doing this, of course, with either the help of dedicated data quality tools, or incident management and

MacGyver is one of North America’s biggest pop-culture heroes. With a can-do attitude, MacGyver was the problem solver we all wanted to be, overcoming challenges and successfully resolving any dire situation he was thrown in. Here are 10 ways you came become the MacGyver of data governance in your organization. #1 Understand the drivers Why

Myth #1: It’s all about fixing the data Data cleansing is a very important aspect of improving data quality, but it’s not the only one. In order to have a sustainable data quality program you can’t just fix the data. You need to understand what needs to be fixed and why; analyze the root cause

Data is an enterprise asset, enabling the organization to make informed decisions. In order to secure data’s position as a highly valuable asset, the organization needs to implement a data quality management program. This will achieve and sustain a high level of quality for the data the enterprise is generating and consuming. The following is

To the best of my knowledge, there are no dedicated tools for creating and managing an inventory of reports/dashboards. At best these are done at the report/dashboard server level where you can audit user access, and read/write stats for the specific reports on that server. What happens if you have different environments and platforms for

As soon as the number of reports in your enterprise starts ballooning, you realize it’s not a bad idea to create a report inventory. A comprehensive inventory leads to a more organized report development team and a better understanding of required resources and availability. An inventory also increases efficiency and productivity and keeps your report