Author Archives: Lalit Bhatt
2022 will be a memorable year in history, not only because of the ongoing pandemic and its aftermath, but also due to the significant advancements in Artificial Intelligence (AI). While AI still has its limitations, the chatGPT technology has demonstrated the potential of large language models and how they can be applied in various aspects […]
Success of ERP and CRM initiatives needs quality data otherwise the initiatives will not provide ROI or worst will fail. “Garbage in Garbage out” 95% of the executives do not trust their data. Organizations have a window of opportunity to fix things when they are implementing an ERP/CRM or changing their current ERP and CRM. […]
Organizations need a unified view of data across all functions to do reliable and effective decision-making at scale. Can an organization pick any one of the ERP or CRM systems and designate it as a single source of truth? Are there alternatives/better ways to do it? Data is the new oil but to harness the […]
Digitization will become de facto in most companies – it is a survival investment, not just to get ahead Companies will consider these investments using their usual frameworks of build vs. buy and ROI etc. Build vs buy needs careful evaluation of multiple levers for the success of the project, the low total cost of […]
Digital transformation is impacting us in multiple ways, be it as an individual or a business and this transformation is accelerating with each passing second. Gone are the days when the muscle power of big organizations, their hold on channels infrastructure, and their reach would define the market. Customers also were not aware of all […]
“Pete’s Super Submarines“ is the old name of which company? Try selling them Nuclear warheads! Key messages: Future is about data quality Data Quality is not a one-time fix, but a continuous improvement process Investing in a data quality engine that unifies, cleanses, and organizes data is a critical step in the digitization journey Loyal […]
Highlights Data is of no use if it does not come with a promise of quality Data needs both technical and semantic cleanup Semantic cleanup needs domain expertise There is a trend among big industrial manufacturers to consolidate the data into data lakes. And that is a good move. This will enable organizations to harness […]
Photo by David Parkins on Economist Data is the new oil. Nothing new in that. Data is everywhere. Decisions based on data always give you an edge, again nothing new in that. But you might still be making completely wrong decisions based on your data. Is this caused by a problem with your interpretation or […]
