{"title":"DAMA International","description":"\u003cp\u003e\u003cstrong\u003eDAMA International\u003c\/strong\u003e offers authoritative texts focused on data management and governance, essential for professionals in the computing and technology sectors. Their works provide comprehensive frameworks and best practices to help organisations harness data as a strategic asset.\u003c\/p\u003e\n\n\u003cp\u003eReaders can expect detailed guides on data management bodies of knowledge, covering methodologies, principles, and industry standards that support effective information management across diverse business environments.\u003c\/p\u003e","products":[{"product_id":"dama-dmbok-by-dama-international-9781634622349","title":"DAMA-DMBOK","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eDefining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eDAMA-DMBOK\u003c\/em\u003e provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: \u003c\/p\u003e\n\n\u003cp\u003eData is an asset with unique properties; the value of data can be and should be expressed in economic terms; managing data means managing the quality of data; it takes metadata to manage data; it takes planning to manage data; data management is cross-functional and requires a range of skills and expertise; data management requires an enterprise perspective; data management must account for a range of perspectives; data management is data lifecycle management; different types of data have different lifecycle requirements; managing data includes managing risks associated with data; data management requirements must drive information technology decisions; effective data management requires leadership commitment.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47933939187948,"sku":"9781634622349","price":199.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781634622349-dama-dmbok.jpg?v=1783886372"}],"url":"https:\/\/bookhero.live\/collections\/dama-international.oembed","provider":"Book Hero","version":"1.0","type":"link"}