Data Integration and Governance for the Modern Enterprise 2021

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21 AUGUST/SEPTEMBER 2021 | DBTA collaboration and input from all data owners and sources inside and outside the enterprise, and there is only one category of individuals who can manage all aspects of data leadership—data professionals such as data managers, administrators, and engineers. Along with the participation of data professionals, a comprehensive digital data governance initiative needs the involvement of people with various roles from across the enterprise. This includes C-level executives as well as line-of- business leaders. Adopt forward-looking methodologies that bring greater cohesiveness to all aspects of the data lifecycle. It's critical to automate the flow of data through the enterprise. With the rise of big data and sophisticated applications that select and run on this data, there is too much conducted manually. Vendors have developed more automated solutions to address data challenges, but enterprises need to remain a step ahead. DataOps, an emerging methodology, ensures a flow of curated data across the enterprise, enabled by the automated and collaborative integration of data engineering and operations management functions. Implement the latest technology to support digital data governance. As enterprises move to greater reliance on digital processes, they require technology tools, platforms, and approaches that can move information quickly and effectively through their organizations and out to decision makers. To accomplish this, it's important to support ease of access, as well as intuitive processes for data change management. This includes technologies and interfaces to identify errant information. Core to this is a data catalog that facilitates the just-in-time discovery of data assets as required by the business. Focus on continuous improvement. As with all aspects of delivering IT services, data managers must strive to maintain a loop that incorporates ongoing user feedback and can adjust for data selection, quality, and timeliness. There are many moving parts in a responsive data architecture, extending from data lakes to data warehouses to storage. Even with a high-quality, well-tuned system, the business around it, as well as relevant compliance mandates, will constantly be changing and shifting. Technology and circumstances will evolve and the data infrastructure needs to keep pace with them. Identify the exceptional decision makers and those who will be effective stewards of data. There are many people and departments that touch data as it moves through the enterprise—it's important to enable those who can bring value to data to also have easy access, such as subject matter experts and top-level decision makers. Digital data governance helps provide decision makers the data needed for their jobs. Educate and enlighten the enterprise on the advantages of digital data governance. Next-generation applications—modern data analytics, AI, and machine learning—bring new powers of insight to decision makers. Data governance advocates need to promote the advantages such technologies bring, as well as the role of governance in ensuring these capabilities. At the same time, data governance will mitigate investments in expensive technology investments that may deliver questionable value. Measure all aspects of data activities. There needs to be an accounting of the value data is delivering to the enterprise weighed against the cost. Compensation and incentive systems should also reflect the gains made by innovation through data analytics. This may call for evaluations beyond traditional ROI and KPI metrics to enable data-driven organizations to quickly understand the impact of decisions and initiatives. THRIVING IN THE DIGITALLY ENRICHED 2020s Forward-looking data integration and governance initiatives will go a long way in enabling today's enterprises to succeed in the 2020s' economy. There's no question that data—enhanced with leading-edge technologies such as advanced analytics, AI, and machine learning—is the best path to business success in the digitally enriched 2020s. Evolving to digital data governance requires attention to the many aspects of data management and provisioning, along with compliance with corporate policies and procedures and global regulatory mandates. n —Joe McKendrick Digital data governance should be a part of all corporate planning and ensuring decision making. Too often, it has been managed as an afterthought or as a one-off initiative. Data management is no longer about standing up databases and populating data warehouses; it's about making the data the constant fuel of the enterprise, accessible to all who need it.

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