A successful implementation of business domain analytics requires complete decentralization and harmonization of different business domains. This proves to be a challenging task in several companies as they have different…
Organizations gather information from a varied range of sources. Challenges arise when the required level of data sophistication, quality and transparency is not acquired from newly evolving IoT and big…
The growing importance of data analytics and BI applications in taking strategic business decision has made data integration’s role crucial in an enterprise. From collecting data, transforming it into useful…
A proper framework is required to implement these iterations. Several data lake projects fail because they lack operational data flow, self-disciplined users, and appropriate data lake governance. In this blog…
Once organizations have ensured that they have the necessary technology, tools, skill sets and architectural concepts to facilitate a sound data integration roadmap, they need to constantly evaluate market offerings…
A real world example is that of Uber. The business of Uber solely runs on the network of connections. The service is dependent on, among other things, the quality of…
Cities can use an open data framework to tailor it to their specific needs. This can be a city’s infrastructure expansion, making policies or determining the investment levels for technology…