How Much Is Big Data Worth? A Lot, When It’s Quality Data

You know quality data is important for business. But do you know just how important – in terms of cold, hard cash – it is, or how to maximize data’s value? If not, this post is for you. It’s no secret that big data is essential for business, assuming you can trust your data. It’s […]

What is Data Quality? Explaining What Data Quality Actually Means

If you work with data, you’ve probably heard the term more than a few times, but what is data quality? Do you know what it actually means, and what data quality analysts do? If not, this article’s for you. It may not be quite as popular a buzzword as big data, but it’s an oft-used […]

4 Real-World Examples of How Financial Institutions are Making Use of Big Data and Data Integration

Big data has moved beyond ‘new tech’ status and into mainstream use. Most businesses are now leveraging data integration to consolidate systems, eliminate data silos, and streamline operations. Also commonplace is big data for things like improving customer service, delivering real-time business intelligence, and predicting future market trends. But within the financial industry (as in […]

Big Data 101: Dummy’s Guide to Batch vs. Streaming Data

Are you trying to understand big data and data analytics, but are confused by the difference between process streams processing and batch data processing? If so, this article’s for you! Batch processing Stream processing Data is collected over time Data streams continuously Once data is collected, it’s sent for processing Data is processed piece-by-piece Batch […]

Big Data Industries: 5 Industries Being Reshaped by Data Analytics

You’ve heard all about big data and the theory behind it, but do you know how data analytics are actually being used to change the way we work in the real world? Keep reading for an overview of big data industries and how they are being reshaped by data analytics. The central promise of big […]

Understanding Data Quality: How Data Quality Problems Arise

Data quality is important to business. That you know. But do you understand what it takes to provide data quality We’ll review how data quality problems can arise. Briefly defined, data quality refers to the ability of a data set to serve whichever need a company hopes to use it for. That need could be sending […]

The Intersection of Data Analytics and Data Governance

Are you suffering from data exhaustion? The symptoms can vary widely, but it generally stems from the unrelenting influx of data and your organization’s continued struggle to define a full-scale strategy to organize, understand and leverage that data for maximum advantage. There’s certainly no shortage of treatment options being marketed; whatever analytics and data management […]

Just How Big is Big Data, Anyway?

You know that big data involves lots of information. But have you ever stopped to think about just how much, exactly, goes into it? In other words, how big is big data, actually? Defining big data Before delving into the question, let’s discuss the difficulty of defining what big data actually means. There is no […]

Data Integration 101: What It Means and Why It’s Important

Leveraging data integration for vital insights How can business intelligence analyses be effectively conducted on data that comes from many different sources and locations, each with its own unique formatting standards? Solving that problem is what data integration is all about. Enterprises today generate huge amounts of data in their daily operations. Some of it […]

The Hidden Costs of Big Data

How much does big data cost? There are two ways to answer that question: The simplistic way, which looks only at surface-level big data costs, and the comprehensive way, which factors in the “hidden costs of big data” as well. What are the hidden costs of big data, you ask? Keep reading for an overview […]

Mainframe Real-time and Streaming Analytics

If you analyze data as soon as it is created – in other words, if you perform real-time analytics – you get much more value out of it than if you wait until the data is a bit older. Sure, data analytics are still useful if the data is a day or a week old. If […]

Top Data Trends for 2022

The field of data enrichment is heating up, as powerful big data analytics continue to deliver on the promise of enhancing business value. Data trends for the coming year reflect an increased focus on privacy and regulatory oversight, along with a rich array of new use cases built around AI and Machine Learning. Customer engagement […]