Data Center World 2024

Industry statistics estimate that only 25% of organizations receive meaningful value from their CMDB investments. Data quality issues have been challenging for IT operations for many years. Inaccurate or incomplete data can lead to security vulnerabilities, poor decision-making, operational inefficiencies, unplanned outages, inaccurate change control data, and other negative consequences for the business.

Companies have spent hundreds of thousands, if not millions, on IT operational tools, hoping to get an accurate and holistic view of their IT environment. Many have not realized their objectives because of the inconsistent data quality in their tools.

Pablo Campos, retired Vice President from Atos, and Andy Abbas, CEO of TFORM, are no strangers to this prevailing issue. A large healthcare client they served had various tools deployed to manage their extensive infrastructure. These tools were not unified in their view of the environment and had various inaccuracies, increasing the risk of overspending, compliance, and security exposures.

Pablo and Andy will share how the team improved the data quality in the client's tools, enabling the entire company to gain greater insight and control of the IT environment. They were able to identify areas where they were overspending on IT resources, finding ways to streamline processes, and improving operational efficiency.

Takeaway

• How to develop and execute a Data Quality Management strategy within IT operations to automate tool accuracy, significantly enhancing the overall quality and effectiveness of IT operations
• How do you stay ahead of audit exposures, licensing, and security risks, while increasing the accuracy of your chargeback \ billing
• How do you implement Data Quality Management to improve all downstream ITIL processes
  The session attendees will receive A best practice checklist as a takeaway.