What is DataOps? Collaborative, cross-functional analytics DataOps (data operations) is an emerging discipline that brings together DevOps teams with data engineer and data scientist roles to provide the tools, processes and organizational structures to support the data-focused enterprise. What is DataOps? DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It […]
IoT Analytics: Reaping Value from IoT Data
The Internet of Things (IoT) is increasingly becoming a key component of many companies’ data-driven transformation strategies. Organizations that have embraced IoT are already seeing benefits such as improved operational processes, better inventory management, and enhanced equipment maintenance — to name a few. However, a successful IoT strategy involves more than just connecting a bunch […]
12 Myths of Data analytics Debunked
In IT, the bigger the hype, the greater the misconceptions, and data analytics is no exception. Here’s a no-bull look at how to leverage data science to deliver bona fide business results. Data analytics, one of the hottest facets of information technology today, can result in significant business gains, but misperceptions can get in the […]
Data Science vs. Big Data vs. Data Analytics
In today’s data-driven world, the terms Data Science, Big Data, and Data Analytics are frequently used, often interchangeably. However, each of these concepts has its distinct meaning, scope, and applications. Understanding the differences and connections between them is crucial for businesses, professionals, and anyone interested in the field of data. This article explores these three […]
Why Do Data Integration Projects Fail?
Discussing data quality, faulty data integration technology, and other factors that contribute to the failure of many data integration projects. You’ve heard it before. ‘70% of all data integration projects fail.’ But ask yourself this: Why are you surprised? A simple glance at the Standish CHAOS reports from 2009 to 2015 tell us that only […]
Benefits of Using IoT in the Healthcare Industry
Healthcare is one of the most important industries, but due to the complexity, level of responsibility and strict regulations, innovations have to come a long way before they get fully adopted in this domain. However, things have changed since the pandemic has shown the vulnerabilities and inefficiencies in this sector. Internet of Things could be […]
SaaS Data Integration – Best Practices
In the contemporary business landscape, Software as a Service (SaaS) applications have become indispensable tools for organizations of all sizes. From Customer Relationship Management (CRM) to Enterprise Resource Planning (ERP) and Marketing Automation, SaaS solutions offer unparalleled flexibility, scalability, and accessibility. However, the proliferation of SaaS applications within organizations also introduces challenges, particularly regarding data […]
Why Data Analytics is Essential to the Customer Experience
Why Data Analytics is Essential to the Customer Experience. Scientists have yet to discover a crystal ball that can foretell the future of consumer demands. But some say data analytics is coming closer every day. By parsing vast volumes of information into bite-size pieces for analysis, data analytics tools can provide sales and service teams […]
How Big Data Helps To Fight Crime?
The Big Data revolution keeps on transforming various areas of life. Its influence has already reached far beyond business – we have discussed how Big Data in healthcare can save people’s lives and how Big Data is used in the world-class sports industry. Now it’s time to have a look on another significant application of […]
Data Management for Advanced Analytics
Data Management for Advanced Analytics Modern enterprises are expanding their analytics programs to improve their ability to make fact-based decisions, plan for an uncertain future, compete on analytics, and grow customer accounts. These high-value business goals require advanced forms of analytics, which in turn demand use-case-appropriate data integration, data platforms, and other data management (DM). […]