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Building a Culture of Rapid Decision Making, CIO News, ET CIO

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Most successful companies have one thing in common: the ability to make important decisions at the right time. The ability to harness the value of data to calculate numbers, analyze trends, gain insights and make reliable decisions faster, helps any business climb the ladder of success. However, organizations need a robust data universe and an AI-powered business to bridge the gap between data and decision making. Therefore, organizations need a growth multiplier that accelerates the pace of decision-making across the organization.

In light of the above, Lumenore and held a virtual roundtable on “Building a Culture of Rapid Decision Making”. The conference brought together industry-leading veterans to discuss his powerful BI platform with conversational intelligence and capabilities. Predictive intelligence enables decision makers to take their business to the next step while achieving operational and functional excellence.

The Role of Data in Decision Making and Your Digital Transformation Journey

Muqbil Ahmar, Executive Editor of moderated the session. While moderating, he explained how Decision Intelligence 2.0 gives business users across the organization the ability to make decisions based on their insights, regardless of their ability to mine them. He also discussed various strategic ways for organizations to take their decision-making to the next level while leveraging the right data and insights.

Ninad Raje, Director and CIO of HealthAssure, shared his insights on the role of data in decision-making, stating: are currently being handled. It is important for organizations to keep both the business and the customer in mind when making decisions. In addition, leaders should also see the business impact of their decisions and analyze their strengths and weaknesses. Business decisions should be based on real data, insights and factual numbers, not false fiction and numbers. “

Amit Sharma, Chief Information Officer (CIO) and Head Partnership at Cytecare Cancer Hospitals, shared his insights on the role of data in the digital transformation journey, saying: After digital transformation, data has become important in almost every economic sector. Today, regardless of sector or industry, we are all in a hyperconnected ecosystem. As such, organizations are obligated to analyze data before reaching final decisions. This means that data-driven decision-making can help organizations achieve the best output and deliver a superior customer experience. ”

In addition, Nikhil Goel, Vice President and Head of IT and Projects at Aetna India, a CVS Health Company, said: Therefore, the biggest challenge facing management and technology leaders is tackling this mass of data. Therefore, data analysis, data mining, and generation of deeper insights are required by the minute.
Today, healthcare professionals analyze data in the deepest way possible to deliver superior patient experiences. However, there is much to be improved when it comes to analyzing and using data to improve accessibility. ”

Unlock the true potential of your data to solve real-time business problems

Sharing insights on how data can improve long-term cost efficiency and improve overall patient care, Jagmohan Singh Rishi, Global Head – Learning & Development, Wockhardt Limited said: says. important. And when it comes to data, it’s equally important for healthcare companies to use it to deliver superior patient services and experiences. Therefore, it is critical that organizations change their mindset, build internal capabilities and leverage digital transformation to stay ahead, especially in this data-driven world. ”

Additionally, Rajiv Sikka, Chief Information Officer (CIO) of Medanta – The Medicity Hospital said: In our case, the data is knowing patient severity, patient skills, and nurse assignments. We used data and algorithms to solve the real-world problem of assigning nurses to patients. Data has enabled us to take initiative while putting patient care at the center of everything we do. ”

Biju Velayudhan, Chief Information Officer at G. Kupuswamy Naidu Memorial Hospital, shared insights on unlocking the power of data. It can be typed into computers throughout the hospital and used to make many meaningful decisions. We used data to automate hospital systems and networks, making them more flexible, reliable and spontaneous. ”

Additionally, Gaurav Kataria, Chief Digital Information Officer (CDIO) at Sai Life Sciences Ltd, said: Organizations must segment this vast amount of data into different use cases. So they need to understand the consequences of that data and work backwards to incorporate the right tools, processes and strategies. In addition, leaders should also know the importance of automation and machine-to-machine communication to accelerate the overall decision-making process. ”

Understand real data and intelligent decision making

Sharing insights on data interpretation and intelligent decision-making, Abhishek Trigunait, CTO of ZS Associates said: When generated in large quantities by multiple sectors and functions, the data becomes voluminous and difficult to manage. In that case, leaders must analyze the data and leverage the right modern technology to unlock its true potential. ”

Additionally, Lumenore EVP – Growth Naren Vijay said: Most leading organizations today are increasing their return on investment by leveraging data journeys. This means that the more he moves his organization from data as a reporting concept to data as a predictive approach, the more his ROI and productivity will come from data. To address the same problem, Lumenore helped a wide range of customers turn data into intelligence while achieving high-speed decision-making capabilities. ”

Today, data is a central part of business operations and critical decision-making. Organizations are harnessing the full potential of data to analyze real-time problems and make robust business decisions. Modern technology, conversational intelligence, and predictive intelligence enable any organization to achieve a culture of agile decision-making that uses robust insights to drive enhanced ROI and operational excellence.