Current education system in the schools and universities are still not able to impart required data skills to manage challenges of a Data driven enterprise. This has led to strong demand to up skill the resources and help them with the requisite Data Literacy skills to manage Digital Transformation initiatives

• Data Literacy Assessment – Get a clear view on Data skills and Data readiness of your organizational workforce. Help identify clear gaps with a plan to upskill in right areas.
• Data Training – Imparting skills with a well-crafted and industry relevant Data Literacy curriculum
• Consulting – Each organization has its own unique needs. Our team of Data experts work closely with our customer stake holders and help them kick start the Data journey.
• Build Data COE within the organization – One of the key pillars of Data strategy is self-reliance. Building your own Data Center of Excellence (COE) is a key step in achieving this objective. At Data Insights we understand that each organization would be at a different stage of the maturity curve to tackle this challenge. Our team works closely with the stakeholders and helps build and execute a clear plan to build Data COE.

• Data Profiling – This is an important step before an organization embarks on a thorough Data Quality Assessment. Data profiling helps to give a quick view of data across your IT landscape and enable a process of discovery to understand the structure and inter relation of various data elements.
• Data Quality Standards (Taxonomy) – Before embarking on a Data Quality Assessment exercise, it important to define the DQ standards suitable to business needs of your organization. It not only introduces a base line standardization across different business units but also brings in immediate business advantage by optimizing asset performance and management
• Data Quality and Readiness Assessment – Many studies have shown importance of right Data in successful deployment of Digital Transformation initiatives. This Assessment will use the learnings from Data Profiling and Standards to help build a in depth understanding of Data Quality issues along with the recommendations to plug the gaps and get Data ready for the Data initiatives.
• Data Governance – Defining a Data Governance framework involves a holistic approach to collect, manage and store data across entire organization. It helps organizations to develop and deliver trusted and reliable data to right users in uniform format across all the business units. However to evolve a right Data Governance strategy, its important that organizations ask right questions to seek more clarity
  • How to choose the right data governance model suited to your needs
  • How data governance will link back to business objectives of the organization
  • How do you build data teams and data driven culture
  • Will it be a ‘phased’ or ‘big-bang’ approach

At Data Insights we work with our customers help find answers to these questions and evolve right Data Governance strategy  

• Data Migration – Studies show that nearly 40% – 45% Digital initiatives hit a snag due to improper Data Migration strategy. Data Migration is not merely a ETL exercise, as construed by many IT teams. Often organizations underestimate the impact of either missing or poor quality data. But good news is that these problems can be effectively addressed by deploying right data management platform and projects managed by focused data organization with a strong understanding of the business domain. At Data Insights, our team has gathered several decades of experience complex migration projects and delivering successful go-lives.

Business Analytics and Insights have witnessed tremendous advancements in recent times. Gone are the days, when business had to request certain BI reports to a specialist team and wait for day(s) to get a response. Advent of Artificial Intelligence (AI) and Machine Learning (ML) powered tools, has enabled end user to take control of their analytics needs. Further advancement in Predictive and Augmented analytics has led to building of matured analytical models which facilitate relevant insights with minimum human intervention. At Data Analytics, we have been working with our customer helping them build a resilient and agile data analytics strategy.