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The Data Sense Blog
Exploring the world of data automation, analytics, and strategic insights for businesses and organizations.
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22 minutesHow to Create and Validate Synthetic Financial Data in Python
Read Featured Article ->: How to Create and Validate Synthetic Financial Data in PythonRecently Data Sense published an article discussing how synthetic financial data is reshaping risk management in financial services. We detailed how financial regulators have begun to experiment and publish guidelines for implementing and assessing synthetic data for analytical fidelity and privacy preservation. But how can this actually be achieved? Extending our previous research, we have…
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17 minutesProgrammable Finance on DLT: Data-Centric Perspective
Read More ->: Programmable Finance on DLT: Data-Centric PerspectiveIn this weeks article we discuss how distributed ledgers reshape settlement data, risk metrics, and privacy controls in financial markets. The rise of programmable finance on DLT is reshaping how financial institutions think about settlement, data governance, privacy, and risk. Unlike earlier blockchain hype, today’s experiments focus on the data…
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8 minutesThe Democratization of Data Visualization: Lessons from Plotly
Read More ->: The Democratization of Data Visualization: Lessons from PlotlyFor decades, data visualization was the guarded domain of BI specialists, statisticians, and data analysts. If an executive wanted a dashboard or a policymaker needed an analysis, they had to request it through a central analytics team and wait days or weeks for results. That world is gone. Today, thanks…
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10 minutesSynthetic Data in Financial Services: Reshaping Risk
Read More ->: Synthetic Data in Financial Services: Reshaping RiskAs synthetic data in financial services gains momentum, evidence from the Financial Conduct Authority (FCA), the European Commission (EC), and central-bank forums shows it can help close cross-border visibility gaps in risk monitoring and systemic oversight When Lehman Brothers collapsed in September 2008, supervisors around the world struggled to see how risks…
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20 minutesFinancial Data Automation ROI: A Data Professional’s Guide
Read More ->: Financial Data Automation ROI: A Data Professional’s GuideThe financial services sector is experiencing a data automation revolution, with 82% of CFOs increasing investments in digital technology in 2024, yet 49% of finance departments still operate with zero automation, relying on manual data entry and Excel spreadsheets (Solvexia, 2025). For data professionals, demonstrating financial data automation ROI has…
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52 minutesHow to use GraphRAG for Economic Data Analysis (Tutorial)
Read More ->: How to use GraphRAG for Economic Data Analysis (Tutorial)This tutorial details how to create a GraphRAG (Graph-based Retrieval Augmented Generation) to conduct economic data analysis. It will focus on combining World Bank Data with Unstructured Reports. Introduction In today’s data-driven world, economic analysts are plagued with information in various forms. This can create a significant challenge in being…
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6 minutesGraphRAG is The Next Evolution in Economic Data Analysis
Read More ->: GraphRAG is The Next Evolution in Economic Data AnalysisHow knowledge graphs are transforming economic analysis by connecting quantitative data with institutional insights The Challenge Every Economic Analyst Knows Too Well Economic analysis today presents a fundamental challenge: the data we need exists in two separate worlds that rarely speak to each other. On one side, we have rich…
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11 minutes12 Amazing Dashboard Tools for 2025
Read More ->: 12 Amazing Dashboard Tools for 2025The data landscape in 2025 is more dynamic and demanding than ever before. The data landscape in 2025 is more dynamic and demanding than ever before. Businesses are drowning in data but starving for insights. Manual data wrangling, complex setups, and the perpetual need for specialized data teams often trap…
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4 minutesUncover the Power of AI Agents in Data Analytics
Read More ->: Uncover the Power of AI Agents in Data AnalyticsArtificial Intelligence (AI) is rapidly transforming every industry, and data analytics is no exception. While traditional analytics tools have empowered businesses with insights, the next frontier lies in AI agents: autonomous or semi-autonomous systems capable of performing complex data tasks, from collection and cleaning to analysis and even recommendation, with…
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13 minutesTelling Amazing Stories with Data
Read More ->: Telling Amazing Stories with DataThe secrets of story telling There is nothing worse than a presenter who throws up a PowerPoint and begins to read off the screen. Despite how good the presenters data and analysis may be, the presentation comes off as dull and boring and leaves the audience with little recollection of…
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9 minutesBest Practices for Adapting Data Visualization for the Mobile Devices
Read More ->: Best Practices for Adapting Data Visualization for the Mobile DevicesIn an era defined by rapid digital transformation, our interaction with data is undergoing a remarkable shift. As smartphones continue to dominate how we access information, the demand for data visualizations that captivate and inform on smaller screens is at an all-time high. This evolution is not just about aesthetics,…
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