Dataception

Data Strategy describes a “set of choices and decisions that together, chart a high-level course of action to achieve high-level goals,” according to DAMA’s Data Management Body of Knowledge (DMBoK). This approach includes business plans to use data for a competitive advantage and support enterprise goals. Having such a blueprint to align decision-making and activities around data assets makes it invaluable. Data Strategy requires an understanding of the data needs inherent in the Business Strategy. According to Donna Burbank: “It’s the opportunity to take your existing product line and market it better, develop it better, use it to improve customer service, or to get a 360-degree understanding of your customer. Data Strategy is driven by your organization’s overall Business Strategy and business model.” A Well-Developed Data Strategy Has: A strong Data Management vision A strong business case/reason Guiding principles, values, and management perspectives Well-considered goals for the ...

How organizations manage their data directly impacts their success or failure. The correlation between data analytics and intelligence to competitive advantage and growth has led to heavy investments in those technologies throughout the last decade. So, if you consider that content is the consumable form of data, then it follows that the era of big data has now given way to the era of big content. Employees, customers, partners, investors, and regulators – all internal and external stakeholders – are clamoring for content to stay employed, educated, entertained, and connected. And all these content consumers are more empowered than ever before, meaning organizations must harness not just the power of their data but also that of their content assets to meet information demands. This data-content continuum exists because of the inherent challenges and opportunities both data and content management share and because content is the form of data closest to your customers and other key audie...

The last two years have been significant in the growth of Data Management technology, mainly because of the pandemic and associated factors. Almost overnight, large, medium, and small organizations located far and wide, suddenly realized the importance of online business models and hosted Data Management services. The coronavirus gave the final push to global enterprises to “adapt or perish.” The managed services offered by cloud providers have many advantages, one the most important of which is freeing up on-premise hardware, software, and employee resources for more critical work than routine enterprise Data Management. Data Management Technology: Data Management Trends in 2022 highlights that increasingly, global organizations are moving to cloud-based Data Management platforms because of scalability. The cloud service providers offer fully managed, scalable, and economical Data Management services without any loss to Data Quality and security. Cloud platforms help businesses mainta...