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Jun 13 2025
Turning Data into Insights: A Smarter Playbook for Mid-Size Businesses


In today’s hyper-competitive economy, data is a critical asset that drives innovation, strategic decision-making, and competitive advantage. However, for many mid-sized organizations, turning raw data into actionable business intelligence (BI) is challenging. The rapid pace of technological advancements, coupled with increasingly complex data environments, presents significant hurdles, particularly for those with limited resources to build […]

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Author: Ken Ammon

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Jun 10 2025
Real-Time Financial Data: Transforming Decision-Making in the Banking Sector


Think of a bank’s treasurer responsible for international cash movement across its global accounts. He receives a notification that a significant amount has been credited to one of the accounts in Asia. A few minutes later, the funds have been transferred to clear up a cash requirement on the other side of the world in Europe. […]

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Author: Gaurav Belani

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Jun 6 2025
Analytics and Citizen Data Scientists Ensure Business Advantage


Do you want your business users to embrace and use analytics? You want your business to enjoy the benefits of fact-based decision making? You want your business to use the tools of business intelligence to improve market presence, customer satisfaction and team productivity and collaboration?  A scarcity of data scientists will no longer hinder the […]

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Author: Kartik Patel

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Jun 5 2025
Mind the Gap: AI-Driven Data and Analytics Disruption


We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. Most advances over the past 30 years have been the result of Moore’s Law: faster processing, denser storage, and greater bandwidth. At the core, though, little has changed. The basic […]

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Author: Mark Cooper

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Nov 29 2024
A Financial Approach to Evaluating Data, Analytics, and AI Investments


Extracting tangible business benefits from data and analytics projects, including those involving AI, has proven challenging for most enterprises. In 2019, VentureBeat reported that 87% of data and analytics (D&A) projects failed to reach production. In 2022, Gartner found that only 20% of insights derived from analytics translated into business outcomes. Despite various reasons for […]

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Author: Prashanth Southekal, Varun Vemula, and Zain Raza Nayani

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Oct 11 2024
Harnessing Data: From Resource to Asset to Product


Companies that are data-driven demonstrate improved business performance. McKinsey says that data and analytics can provide EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1]. According to MIT, digitally mature firms are 26% more profitable than their peers [2]. Forrester research found that organizations using data are three times more […]

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Author: Prashanth Southekal

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Oct 3 2024
Mind the Gap: Ask for Business Actions, Not Business Value


I’m not sure I know anyone in the data and analytics field whose platform doesn’t face budget scrutiny. Analytics is expensive. And when cost-cutting is the order of the day, analytics is a big target. Up shields. Time for another business value inventory. I’ve spoken with consultants who have completed analytics business value inventories at […]

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Author: Mark Cooper

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Sep 27 2024
The Hidden Language of Data: How Linguistic Analysis Is Transforming Data Interpretation


From Fortune 500 companies to local startups, everyone’s swimming in a sea of numbers, charts, and graphs. But here’s the thing: While structured data like sales figures and customer demographics have long been the backbone of analytics, there’s a growing realization that unstructured data is the real goldmine. Think about it. Every tweet, email, customer review, and social […]

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Author: Nahla Davies

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Sep 27 2024
From Instincts to Data-Driven Success: The AI-Powered Path to Product-Led Growth


Have you noticed the way that businesses grow is changing? We are moving away from standard sales-driven models to more innovative product-led tactics. And what is fueling this shift? You guessed it: AI and predictive analytics. These tools are not just fancy jargon; they are transforming how we understand customer needs, customize experiences, and upgrade […]

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Author: Lohith Kumar Paripati

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Sep 25 2024
Data Visualization in the Era of AI/ML


How will data visualization evolve in the era of AI/ML? While AI is rapidly evolving, it is ironic that business users are still using “dumb” dashboards. The challenge is to move beyond these unintelligent dashboards to a genuinely transformative visual analytics solution that harnesses the power of AI/ML. While some vendors offer a ChatGPT-like querying […]

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Author: Chaitanya Indukuri

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Sep 5 2024
Mind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team


… and your data warehouse / data lake / data lakehouse. A few months ago, I talked about how nearly all of our analytics architectures are stuck in the 1990s. Maybe an executive at your company read that article, and now you have a mandate to “modernize analytics.” Let’s say that they even understand that just […]

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Author: Mark Cooper

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Aug 20 2024
3 Examples of LLM Use in Business Intelligence


Large language models (LLMs) are advanced AI systems designed to process and generate human-like text by training on extensive datasets. They excel in tasks ranging from translation and summarization to answering questions and writing content, effectively simplifying what used to be labor-intensive, complex interactions between humans and machines. LLMs represent a transformative leap in artificial […]

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Author: Gaurav Belani

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Jul 1 2024
What Is PMML and Why Is It Important?


You may not be an analytics expert and you may find terms like PMML integration somewhat daunting. But, in reality, the concept is not complex, and the value is outstanding. So, what is PMML integration? PMML stands for “predictive model markup language.” It is an interchange format that provides a method by which analytical applications and […]

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Author: Kartik Patel

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Jun 28 2024
Enhancing the Reliability of Predictive Analytics Models


Predictive analytics is a branch of analytics that identifies the likelihood of future outcomes based on historical data. The goal is to provide the best assessment of what will happen in the future. Basically, predictive analytics answers the question “What will happen?” The value of predictive analytics lies in enabling business enterprises to proactively anticipate […]

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Author: Prashanth Southekal

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Jun 27 2024
The Future of Insurance: A Business Analyst’s Insight into Emerging Trends and Technologies


The insurance industry is undergoing a revolution, mainly driven by the application of advanced emerging technologies. The application and installation of new technologies enable a better future for our industry, where customers will receive maximum efficiency, security, and flexibility. Here, we address the major technologies and trends that influence this transition, shedding light on their […]

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Author: Pankaj Zanke

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Jun 24 2024
Demystifying Advanced Analytics: Which Approach Should Marketers Take?


“Advanced analytics” has been the new buzzword on every organization’s mind for the past several years. Recent advancements in machine learning have promised to optimize every arm of an organization – from marketing and sales to supply-chain operations.  For some, investments in advanced analytics have been worth the hype. Those who succeed can gain a […]

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Author: Fabrizio Fantini

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Jun 6 2024
Mind the Gap: Analytics Architecture Stuck in the 1990s


Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored the data chasm. This month, we’ll look at analytics architecture. From day one, data warehouses and their offspring – data marts, operational […]

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Author: Mark Cooper

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May 28 2024
Securing Data in Transit for Analytics Operations


Most enterprises today store and process vast amounts of data from various sources within a centralized repository known as a data warehouse or data lake, where they can analyze it with advanced analytics tools to generate critical business insights.  Modern data warehouse platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, and IBM Db2 are built with […]

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Author: Gaurav Belani

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May 27 2024
Demystifying AI: What Is AI and What Is Not AI?


In recent months, particularly following the release of ChatGPT, there has been an unprecedented surge in interest surrounding artificial intelligence (AI). This heightened attention spans across a multitude of sectors, including business enterprises, technology companies, venture capital firms, universities, governments, media outlets, and more. As the interest in AI is intensifying, some companies have even […]

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Author: Prashanth Southekal

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May 24 2024
Beyond the Basics: Advanced Tips for Effective Data Extraction


Data extraction is a cornerstone in data analytics, enabling organizations to extract valuable insights from raw data. While basic extraction techniques are fundamental, understanding advanced strategies is crucial for maximizing efficiency and accuracy. This article will explore advanced tips for effective data extraction, shedding light on automation tools, leveraging APIs and web scraping techniques, enhancing […]

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Author: Irfan Gowani

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May 13 2024
Data Intelligence: The Key to Empowered People and Decisions


McKinsey analysts predict that enterprise employees will rely on data for almost every decision come 2025. If true, this development would mark a significant departure from the current business modus operandi. According to our research, only 25% of enterprise data professionals believe their organization’s decision-making process is data-backed or strategic.  How are these two concepts – the perception of data […]

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Author: Herve Chapron

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May 3 2024
Granularity Is the True Data Advantage


Commerce today runs on data – guiding product development, improving operational efficiency, and personalizing the customer experience. However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated. Often, executives will become overzealous in their digital transformations and cut blank checks for data collection, […]

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Author: Fabrizio Fantini

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Apr 29 2024
The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights


Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI) […]

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Author: Nahla Davies

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Apr 26 2024
Understanding Linear Regression Intercepts in Plain Language


I am often asked about the role of intercepts in linear regression models – especially the negative intercepts. Here is my blog post on that topic in simple words with minimal statistical terms.   Regression models are used to make predictions. The coefficients in the equation define the relationship between each independent variable and the dependent variable. […]

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Author: Prashanth Southekal

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Apr 25 2024
Preparing for La Niña: Adopting Predictive Maintenance Before Hurricane Season


With a La Niña watch issued for the summer, businesses operating in hurricane-prone regions face heightened concerns about the impending storm season. La Niña heavily impacts the wind shear and atmospheric conditions over the Atlantic, where most hurricanes form thanks to its warm waters. It’s rare to go a year without a hurricane hitting some part of […]

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Author: Kevin Miller

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