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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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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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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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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The Swashbuckling Guide to Building an Analytics Center of Excellence

Ahoy, data adventurers! Embarking on the thrilling journey of building a successful Analytics Center of Excellence (CoE) is akin to navigating the vast seas of data-driven decision-making. As a seasoned captain who’s steered the ship through the turbulent waters of financial services, retail, CPG, and telecom industries, I’ve charted a course that’s proven its mettle…

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Three Key Commandments of Effective Dashboards

A dashboard is a visual snapshot of business performance using KPIs (key performance indicators) to help users make smarter, data-driven decisions. An effective dashboard simplifies the visual representation of complex data and helps stakeholders understand, analyze, and present key insights at a glance. At the core, the objective of a dashboard is to make complex…

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Four Ways SMBs Can Maximize the Value of Data

Businesses of all sizes are collecting more data, continuously, than ever before. But many – particularly small and medium-sized businesses (SMBs) – have trouble understanding where their data sits, how to connect and act on it, how to manage it, and, most importantly, how to drive value from it.  While there’s been a huge surge…

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How to Leverage Data Management for Efficient Patient Billing

Better transparency of expenses gives great insights to patients. It also helps healthcare organizations in managing patient billing processes. But how to get this transparency in the system has always been a question for many. After thorough research, I found that proper management of patient data can do wonders for the healthcare sector. Do you want to…

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Data Management and Analytics: Are You Ready for These Worlds to Collide?

The once-disconnected worlds of data management and analytics are increasingly colliding in front of our eyes, even if not everybody sees it. We are in the midst of a quiet revolution and entering a new era in which all the key ingredients for successful decision-making are coming together. That combination will see the emergence of…

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9 Best Practices for Real-Time Data Management

In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety. This article will guide you through nine best practices…

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