In the age of abundant information, companies face the challenge of extracting actionable insights from an overwhelming volume of data. Merely having access to “good data” is no longer sufficient; businesses require accurate, reliable, and unbiased information about customer opinions, behaviors, and motivations. Making informed business decisions necessitates holistic data that encompasses the entire market, […]
Data Provisioning: Ingest, Curate, and Publish
A collection of facts from which inferences can be made is called data. It is the basis on which factual information is derived, providing relevant results to the end users. Data is the cornerstone of contemporary society and is crucial to many facets of people’s lives. In order to gain knowledge and make wise decisions, […]
10 Data Streaming Challenges Enterprises Face Today
Businesses are swamped with a flood of real-time data coming from sources such as websites, social media, digital activity records, various sensors, cloud technology, and numerous machines and gadgets. The list keeps getting longer. The need for immediate analysis and customer insights has pushed the growth of this kind of data sky-high. And with that […]
The Top Benefits of Analyzing Data at the Edge
Demand for real-time data and analytics has never been higher – and for good reason. Businesses want to be able to tap into their data and generate insights that can lead to a competitive edge in their respective industry. To meet those objectives, organizations are increasingly turning to the cloud, on-premise data centers, and the […]
Managing Data Costs on Azure
As more businesses migrate their operations and data to the cloud, managing costs becomes an increasingly pertinent concern. Microsoft Azure, being one of the most versatile and popular cloud platforms, offers a vast array of data services but also comes with its own set of costs. Proper management of these costs can help businesses leverage […]
Overcome Data Parsing Obstacles with the Power of Machine Learning
Web scraping is used for, among other things, getting the vast volumes of publicly available data needed for training algorithms for machine learning (ML). The relationship between data scraping and ML is, however, symbiotic rather than one-sided. On the other side is ML’s ability to improve the fundamental procedures underlying web data gathering, making it […]
Building Resilient Data Ecosystems for Safeguarding Data Integrity and Security
The term “big data” is no longer the exclusive preserve of big companies. Businesses of all sizes increasingly see the benefits of being data-driven. Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools. Effective access to […]
Data Portability Offers the Only Prospect of Gaining Control Over Our Digital Identity
In the digital age, our lives are intricately intertwined with the vast amount of data we generate, akin to footprints on snow. Every online interaction, every purchase, and every social media post leaves a trackable trail, which taken together represents our digital identity. This digital self, however, is increasingly under threat – from data breaches, […]
To Share or Not to Share: 3 Keys to Faster and Safer Data Delivery
Data represents the lifeblood of any organization, whether gathered and analyzed for boosting sales, developing new marketing strategies, improving customer satisfaction, or long-range strategic planning. Key decision-makers would be lost without it. Despite the crucial role that data plays across the entire enterprise, the issue of who gets access to information while also keeping it […]
A Data-Driven Organization Requires Everyone’s Hands on the Wheel
Companies are driving ahead with data transformation. But so far, the results are mixed: Few companies have achieved their goal of becoming a data-driven organization. So, where are they going off track? First, it’s important to define what it means to be data-driven. Data-driven organizations not only collect data, they collect the right data and use it […]