20 Oct



A data strategy is a comprehensive, strategic approach to data management and governance for an organization. It involves various processes, rules, and documentation for gathering and organizing data to make it usable (i.e. all data is accurate, clean, and usable). Data science is the discipline of research in which an analyst investigates the meaning, purposes, and use of data about the specific needs of an individual or organization. In this competitive era, data science has become an important part of the business intelligence (BI) market.



Data Strategy helps an organization align resources with information, enabling organizations to obtain actionable intelligence. A data strategy also assists managers in addressing the increasingly complex challenges posed by managing a data-driven business. It helps managers understand the presentational problems in data management, formulate solutions for these problems, provide knowledge that improves the organization's internal and external relationships, and provide frameworks for decision making.
Data governance strategies should be flexible enough to allow rapid adaptability when changes occur in technology or procedures, but also rigid enough to ensure that information stays controllable. While many managers take a hands-off approach toward their data, others work toward achieving "total business control" through data strategy and application governance. Managers are encouraged to consider input from various disciplines such as technology, business intelligence, finance, operations, human resources, marketing, and information management, in developing a data governance strategy.


 These disciplines may work together to achieve a unified vision and include guiding principles to guide the process of how data are managed. The development of a data strategy can take into account the organization's strategic priorities, operational activities, available resources, and future planning objectives. When these key factors are taken into account, the overall impact on the organization can be measured and a data strategy can then be developed. This is the first step toward the achievement of Business Data Strategy.



Once the strategy has been developed, the data strategy guides all decision-making within the organization, from senior management down to the most basic staff function. This enables the organization to align its goals with its resources and align those goals with its operational processes and activities. With a well-defined set of data resources and the right tools for decision-making, data teams can achieve remarkable results for the organization.



An effective data strategy will integrate all aspects of the organization to support business functions. It will enable the organization to more effectively manage and improve its business outcomes. By aligning its data activities, it will help the organization to become more productive, competitive, and innovative. It will increase organizational productivity and improve employee relations, thus making it easier to achieve organizational goals and objectives. In the end, an effective data strategy not only improves the quality of data collected but also makes it easier for the organization to achieve its strategic objectives and achieve business success.  Find out more details in relation to this topic here: https://en.wikipedia.org/wiki/Mobile_data_management_strategy.

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