Sections: Inner Blogs

“In God we trust, all others must bring data” This quote attributed to William Edwards Deming sets the tone for businesses around the world today. What is data and why is it so important? What is the buzz around data all about? These are not just questions from a novice outsider, but from established enterprises

Corporate governance – an oft used phrase, is in effect an extension of directed and controlled corporate management. The same way, data governance refers to a set of defined processes that enable controlled enterprise-wide data management. The goal of data governance is to realize and promote the value of data assets by ensuring availability, usability,

Rapid digitalization and advanced analytics are driving changes in the automotive industry. Tech-savvy millennials; anytime, anywhere connectivity; provision for in-vehicle Wi-Fi; and demand for entertainment on the move are prompting carmakers to integrate advanced infotainment in cars. According to the PWC forecast, the market for connected technologies for vehicles will triple by 2021 to reach

Your business is improving. Your business processes have been perfected. You have the right people and your tools are in their rightful places. There exists a culture of continuous improvements that has given rise to a series of best practices at all levels. Your customers are happy with the results. There is no better time

With all the buzz around Model Based Definitions (MBD) and Model Based Enterprises (MBE), everyone’s talking about moving towards a Model Based Enterprise. However, one of the typical mistakes made by enterprises is creating a 3D model and expecting the results to flow in. That’s a fallacy! What the 3D Model does It helps capture

The year 2016 will go down in history as the breakthrough year for technology in the healthcare industry. Technology trends, disruptive as ever, clearly outpaced others including geographical, social, and political trends in shaping the industry’s current and future business course. Conservative as it is, the experience has been unsettling for healthcare industry’s stakeholders as

Autonomous vehicles are already in use in industrial fleets, in highly controlled environments. When it comes to consumer vehicles, the ground is still getting ready. From automakers to technology giants, 19 companies are working to launch autonomous or driverless cars on the road by 2020.1 According to a study published by McKinsey, adoption of autonomous

Moving towards Model Based Enterprise Today, even as organizations strive to improve operational efficiency by lowering cost and improving time-to-market, customers have become more demanding in terms of precision, quality, and agility.  In this backdrop, businesses across verticals have gone back to the quintessential drawing board for answers. The principal challenge is encapsulated in the

Well, the running joke in analytics is that if you torture data long enough, it will confess to anything – and the data generated by the Oil and Gas industry is so vast, almost anything is possible. For an industry that has decisively headed towards eking out every last ounce of production from their existing

“Manufacturing defects are a huge issue for the industry. In some cases, 50% of production can end up as scrap because of defects, while in some complex manufacturing lines the rate of scrap can be as high as 90%,” explains Odd Myklebust, the IFACOM coordinator at the Norwegian University of Science and Technology in Trondheim.1