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Fundamentals of Data Classification

The process of data classification can be broadly described as the organization of data into relevant categories, allowing it to be accessed and protected more efficiently. In the simplest terms, the data classification process ranks data based on its security needs and makes it easier to locate and retrieve data. Classification is especially useful to […]

Creating a Data Monetization Strategy

A data monetization strategy is an executable plan for extracting “value” from data and converting it into revenue-generating opportunities. It involves analyzing and leveraging data to uncover insights that can be used to drive business growth, enhance customer experiences, and create new revenue streams.  Organizations collect large volumes of raw data from various sources such […]

How to Ensure Data Quality and Consistency in Master Data Management

In the digital age, organizations increasingly rely on data for strategic decision-making, making the management of this data more critical than ever. This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data. This evolution underscores the importance of master […]

Unveiling the ROI Dilemma: How Data Blind Spots Impact Asset Owners’ Bottom Line

In today’s fast-moving investment world, corporate and insurance asset owners are operating in the dark, hindered by the absence of a standardized industry benchmark for an overall asset performance assessment. Asset owners usually have many other responsibilities beyond managing portfolio strategies, affecting their ability to allocate time to comprehensively evaluate and optimize the performance of […]

Data Lakehouse Architecture 101

A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform for seamlessly integrating both structured and unstructured data, providing businesses agility, scalability, and flexibility in their data analytics processes. Unlike traditional data warehouses that rely on rigid schemas for organizing and […]

Sustainable Data Management: Trends and Benefits

The rapid growth of digital data has led to a significant environmental impact that cannot be overlooked. Understanding the need for a greener digital landscape and sustainable data management is crucial to mitigate this impact and ensure an eco-friendly future. Data management, including storage, processing, and transmission, requires vast amounts of energy.  Additionally, the manufacturing […]

In-Memory Databases: An Overview

In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]

Keeping Cloud Data Costs in Check

Cloud data workloads are like coffee: They come in many forms and flavors, each with different price points. Just as your daily cappuccino habit will end up costing you dozens of times per month what you’d spend to brew Folgers every morning at home, the way you configure cloud-based data resources and run queries against […]