MDM for Business Intelligence Success

02/11/2019

MDM for Business Intelligence Success

For business intelligence to produce reliable results, you need high-quality data.

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Seven Myths of Data Analytics Debunked

02/04/2019

Seven Myths of Data Analytics Debunked

The rapid growth and success of the data analytics field has a dark side.

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The Role of Multi-domain MDM in Digital Transformation

01/29/2019

The Role of Multi-domain MDM in Digital Transformation

Digital transformation is on the agenda at almost every enterprise. Let’s take a closer look at how different master data domains in your MDM strategy contribute to digital transformation:

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Risks CIOs Face When Poor Data Quality Leads to False Assumptions

01/22/2019

Risks CIOs Face When Poor Data Quality Leads to False Assumptions

Bad data is more than an inconvenience.

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Data Quality Trends Making Waves in Data Management

01/15/2019

Data Quality Trends Making Waves in Data Management

With stats flying around every day about how much new data is being generated by Internet of Things (IoT), social media, mobile devices and the cloud, it is no wonder that we feel swept up in this digital wave and feel there is no easy way to swim out.

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When Hype Doesn’t Match Reality: Data and Analytics Failures

01/02/2019

When Hype Doesn’t Match Reality: Data and Analytics Failures

Gartner researchers estimate that over 80% of big data projects failed in 2017.

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When CRM Is Not Enough

12/18/2018

When CRM Is Not Enough

CRM solutions are advertised to provide a single source of truth for customer information. So why do I STILL need a data management strategy when implementing or migrating my CRM solution?

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What the Data Manager Wishes the Business Understood about Becoming a Data-Driven Business

12/17/2018

What the Data Manager Wishes the Business Understood about Becoming a Data-Driven Business

Every C-level executive talks about the value of a data-driven business. That’s all well and good, but they may not understand that a comprehensive data management plan sets the foundation for this. So, they don’t always actively promote the use of or changes in how the company manages master data.

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5 Ways Data Management Addresses Data Quality Issues

12/07/2018

5 Ways Data Management Addresses Data Quality Issues

Data managers play defensive tackle in the fight against poor-quality master data. They’re trying to fill data gaps and keep bad data from making it to the end zone, so to speak. They have as tough a job in the data management trenches as athletes do on the gridiron.

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5 Ways to Align MDM Capabilities with Business Processes

11/28/2018

5 Ways to Align MDM Capabilities with Business Processes

Here are 5 step-by-step ways to align MDM capabilities with the key business processes in your organization.

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Harvard Business Review on the Path to Trustworthy Data

of executives say that having a strong master data management program is important to ensuring their future success.

of executives believe their organizations are underinvesting in their enterprise-wide data strategy.

of executives say their organizations rely on more than 6 data types that are essential to business operations.

of respondents who have employed MDM say their organizations' approach to MDM is moderately or very effective.

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