One promising accelerator toward data literacy is the explosion of “citizen developers,” that is a business user with a blend of both business and technical acumen, rather than a traditional developer, who can create applications As a company obtains more data assets, it updates the warehouse data to keep it up-to-date and accurate. “Organizations that don’t know what information they have, or need, are unable to leverage information as an asset.” Metadata ensures data is visible, trusted, and usable. The priority of the 2019-2020 Federal Data Strategy Action Plan (hereinafter “Action Plan”) is to establish a firm basis of tools, processes, and capacities to leverage … We’ll also study many of the firms mentioned above, and more; providing a context for understanding how managers are leveraging data to create winning models, and how Determining the return on data assets The data is made available for use by professionals for reporting, market research, and decision making.

Once a culture of data valuation and data governance has been established in an enterprise, the extension of the concept to valuing data for balance sheet purposes is a logical further refinement. To capitalize on data as an asset, organizations will need to become more data driven—and data fluent. A data asset is data that is expected to generate future revenues. DAF is a set of survey methods to enable data auditors to gather this information. confidence in data and the ability to make better decisions. the valuation of data as an asset: a ConsumPtion-based aPProaCh The following are examples of data assets. The compiled data then goes through sorting, summarizing, and cataloging so that it is easier to use. Data Asset Management (DAM) – Frameworks: – Data Asset Management – along with the data architectures and technology platforms which enable and support DAM – contains of a set of Enterprise Data Frameworks which in turn consists of methods, techniques and processes to execute Enterprise Data Management tasks and decisions. This differs by business model as what is valuable to one industry may have little value to another. 7 Examples of a Data Asset posted by John Spacey, September 15, 2017. misuse, data loss or irretrievability; - learn about researchers’ attitudes towards data … In this chapter we’ll study the data asset, how it’s created, how it’s stored, and how it’s accessed and leveraged. The Data Asset Framework (DAF) provides organisations with the means to identify, locate, describe and assess how they are managing their research data assets. The Data Asset Framework is a set of methods to: - find out what data assets are being created and held within institutions; - explore how those data are stored, managed, shared and reused; - identify any risks e.g.