Gartner Analysts announce measures to explore trust, governance and privacy
O Gartner, a world leader in research and advice for companies, announces 12 actions to help Chief Data and Analytics Officers (CDAOs) and others D&A leaders (Date & Analytics) to improve data quality, add value to their companies and to avoid large management expenses.
Jason Medd, Gartner Analyst
“Data quality issues are very expensive”, affirms Jason Medd, an analyst at Gartner. “But the problems are not difficult to solve and they don't have to take a long time. However, if the IT executives don't have programs in Date Quality impactful and supportive, their companies will face a myriad of complications and will have many missed opportunities.”
To improve data quality is not a one-time effort. “One of the mistakes is taking a technology-centric approach to improving of information, with little focus on the organizational culture, people and processes to simplify corrective actions”, says Medd.
Gartner analysts estimate that by 2024, 50% organizations will adopt modern solutions in Date Quality for better support your digital business initiatives. With an eye on this ongoing process, Gartner recommends 12 shares that should be done to improve data quality. Gartner analysts condensed these activities in four main categories for help executives to prioritize your efforts based on problem areas:
Source: Gartner (May 2023)
1. Focus on the right things to lay strong foundations – You CDAOs firstly need to focus on the right things to lay solid foundations. “Not all data is equally important”, warns Gartner analyst. According to him, the CDAOs they should focus on the data that most influences business outcomes, understand key performance indicators (KPIs) and key risk indicators (KRIs), and build a business case. “They need to share the common DQ language with stakeholders and set standards in Date Quality", it says med.
2. Apply data quality responsibility – After to establish the foundations, the CDAOs need to get support from the D&A governance committee and dedicated data stewards from business units and the core D&A team who will proactively shift gears based on priority. They will look for new ways to help with improvements and potentially in building new ways to validate data in real time, whenever necessary, to help in filling gaps. “Data is a team sport. Therefore, the CDAOs need to form special interest groups that can benefit from the data quality, communicate benefits and share best practices with other business units,” adds Medd.
3. Establish “fit for purpose” data quality – To improve DQ, it is important to perform data profiling and data monitoring to understand and validate current data gaps and challenges, monitor and build improvement plans. then the CDAOs need to transition to a trust-based governance model to drive enterprise-wide adoption of DQ initiatives.
4. Integrate data quality into corporate culture – You CDAOs can improve the quality of their companies' data using technologies to reduce manual efforts and obtain faster results. They also do this by identifying frequent issues. in Date Quality and incorporating the solutions into the business workflow. You Leaders must also improve data literacy across the enterprise by instilling a culture data-driven and facilitating knowledge sharing and collaboration among all program stakeholders.
Data and analytics leaders can learn more about how to measure their own effectiveness using the Gartner CDAO Effectiveness Diagnostic, a unique tool that allows CDAOs understand their effectiveness as leaders and discover their strengths and areas for improvement. Gartner for Data & Analytics Leaders provides objective and actionable information to CDAOs and data and analytics leaders to help them accelerate their D&A strategy and operating model to drive business value. Additional information is available at www.gartner.com/en/data-analytics.
