Machine Learning and the rise of the Dynamic Enterprise
The term “dynamic enterprise” was introduced during 2008, as an enterprise architecture concept. Rather than striving for stability, predictability and
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Category: Analytics
How ITSM tools miss the boat on operational data management
For most companies, IT Service Management (ITSM) tools are the core hub for monitoring and managing the systems used to
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Data Integrity: the key to operational insights or the elephant in the room?
Throughout history, business has always struggled with the challenge of data accuracy and integrity. While there is clear operational and
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Why is IT Operational data important for IT?
Each day, with every customer transaction, employee task and business process, companies generate vast amounts of operational data that provides
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The downstream impact of IT data improvements
How well prepared is your organization for growth? What are the challenges to making progress? One often overlooked constraint is
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Is data management a thorn in IT’s side?
Modern business leaders depend on data – it provides insights into operational performance, customer needs, supplier risks, market opportunities and
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Insight through Data Quality
Five Steps to Improve Business Insight Through Data Quality Organizations generate phenomenal amounts of data every day. To avoid being
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Seven Characteristics that Define Data Quality
While many organizations boast of having good data or improving the quality of their data, the real challenge is defining
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The difference between data quality and data integrity
Data Quality and Data Integrity Are Not the Same The difference between data quality and integrity is important to understand
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Implications of poor data quality in healthcare
Organizations are constantly challenged to maintain the right level of data quality. This is especially true in a risk-averse industry
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