Chirag Kwatra’s Post

Organizations are leveraging various tools to enhance data quality and visibility, but the real value lies in converting that data into actionable insights for CFOs — utilizing data as fuel, not as exhaust. Krishnan Raghunathan shares how WNS has helped clients uncover hidden inefficiencies, behavioral patterns and remove biases to generate incremental free cash flows and solid bottom-line impacts by leveraging AI-driven predictive analytics. Watch the video to learn more: https://bit.ly/FIB-1 hashtag #AI hashtag #Finance hashtag #Analytics

In today's data-driven world, organizations are increasingly leveraging various tools to enhance data quality and visibility. However, the real value lies in converting that data into actionable insights for CFOs - by utilizing data as fuel, not as exhaust. Krishnan Raghunathan from WNS shares multiple examples of how AI-driven predictive analytics uncovered hidden inefficiencies in critical record to analyze process ranging from master data cleansing, chart of accounts to legal entities rationalization, through behavioral pattern recognition, and removing biases. The result:- Deliver frictionless close experience, create capacity for financial analysis, share insights for real time decision making thereby improving shareholder value. Discover how WNS is transforming data into a strategic asset, driving substantial financial improvements. https://bit.ly/FIB-1

Organizations are leveraging various tools to enhance data quality and visibility, but the real value lies in converting that data into actionable insights for CFOs — utilizing data as fuel, not as exhaust. Krishnan Raghunathan shares how WNS has helped clients uncover hidden inefficiencies, behavioral patterns and remove biases to generate incremental free cash flows and solid bottom-line impacts by leveraging AI-driven predictive analytics. Watch the video to learn more: https://bit.ly/FIB-1 hashtag #AI hashtag #Finance hashtag #Analytics

Organizations are leveraging various tools to enhance data quality and visibility, but the real value lies in converting that data into actionable insights for CFOs — utilizing data as fuel, not as exhaust. Krishnan Raghunathan shares how WNS has helped clients uncover hidden inefficiencies, behavioral patterns and remove biases to generate incremental free cash flows and solid bottom-line impacts by leveraging AI-driven predictive analytics. Watch the video to learn more: https://bit.ly/FIB-1           #AI #Finance #Analytics Sivaram Vallampati | Dr Beadle Navaraj | Agam S | Nagendra Bandaru | Jeff C. Heusen CGMA, ACMA | Victoria Leavold | Nitin Pant | Shrikant Bhogaraju

Data leaders have been under increased pressure to apply their critical insights to an expanding set of use cases that accelerate the demand for effective #data products. According to a recently commissioned study conducted by Forrester Consulting on behalf of EXL, 90% of respondents acknowledged that their business’s overall success relies on consistent, accurate, and fast access to #Data and #Insights. Read the study here- https://bit.ly/49apfYp #GenerativeAI

The criticality of a data and analytics (D&A) operating model with GenAI takes precedence at every level of the organization as we slowly adopt AI-driven agility in business functions

The Client Engagement team at Codex have landed on three key themes for FY25 that we believe will drive our #growth and success as a #Data and #AI consultancy: 1. Relationships: Building relationships will lead to more opportunities. 2. Issues: Understanding the pressing issues that people need to overcome. 3. Value: Offering solutions to people that effectively address issues and deliver measurable value. Frameworks and methodologies are great but I am looking forward to seeing how these themes accelerate our decision-making and keep us focussed on what's most important. #RelationshipBuilding #ProblemSolving #BusinessValue

Excited to share my experience with this fantastic course on Excel for Business Analysts. This course gave a thorough introduction, which was ideal for enthusiastic analysts like me. Here's a breakdown of the key takeaways: Foundations: Clarifying the differences between business analysis and project analysis. Data Powerhouse: Analyzing data aggregation strategies from several databases. Data Integrity is Important: Learn how to clean Excel data and avoid data bias to ensure the soundness of our study. Predictive Analytics: Understanding how businesses foresee in a range of scenarios, including key investment decisions. Data-Driven Decisions: Learned how to understand business analytics outputs, identify patterns, and conduct variance analysis to compare actual and predicted outcomes. The Future of Business Analytics: Investigated the exciting promise of Artificial Intelligence, including generative AI tools such as Copilot and ChatGPT, while also recognizing possible biases and limitations. Excel is a formidable force when it comes to substantial business analysis; these insights demonstrate its capacity to assist strong business decisions. https://lnkd.in/dFvjCHwC #microsoftexcel #businessanalysis

Data & Analytics leaders play a crucial role in developing and evaluating GenAI business use cases and this often requires collaboration with risk stakeholders. Understand your role in GenAI adoption with Gartner for IT. #GartnerIT #Data #Analytics #ArtificialIntelligence

"Strong data capabilities. Top performers are twice as likely to have data pipelines and data management practices in place, helping them to source and store high-quality data (even from unstructured data sources). This is a critical element of GenAI, given that models are only as strong as the data on which they’re trained." This BCG article is another great read for executives! https://lnkd.in/dnrrJdPH #GenerativeAI #AIRevolution #TechLeadership #DigitalTransformation #InnovationManagement #CEOLeadership #FutureOfTech #AIInBusiness #StrategicInnovation