Integrating silos of analytics across various business domains The introduction of business domain analytics has allowed analytical leaders to apply the collective set of analytical methodologies across all business processes and industry verticals. Analytics leaders can now optimize their domain specific analytics to gain success in a digital economy.

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…

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Choosing the right data integration tools The need for pulling together growing volumes of data generated and collected by organizations has increased. Several types of data integration tools are available in the market. It has become a challenging task for IT leaders and CIOs to choose from so many products available to them.

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…

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Governance measures to be considered for data lakes Data lakes often need a huge volume of structured ungoverned data along with unstructured data. For discovering meaningful insights, the data goes through significant iterations of visualizations and discovery.

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…

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How to continually evolve your data integration practice Strategic business decisions are crucial as they impact several core aspects of an organization. Integrating a full range of data relevant to the business with the right data integration strategies can result in significant improvements that can enhance ROI.

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…

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What should CDOs do with the value of connections? In our previous blog, we described the terms: value of connections and value of information. The value of connections allows us to analyze the data generated from connected things, devices, and organizations to draw out significant business plans and strategies.

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…

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Smart cities need open data governance As the vision of creating a smart city using IoT and integrated communication technology has turned into reality, the access to meaningful data or open data has become a core demand. This meaningful data is the key to smart city development. Access to meaningful data will provide the people of smart cities with a citizen-specific and contextualized service environment.

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…

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