Digital transformation is about more than just digital technologies. It is also about organizations adopting new cultures, structures, and processes that will align with IT architecture, leading to comprehensive digital solutions. A digital transformation roadmap is defined as a process illustrating how an organization can adopt digital technologies to meet business objectives. This roadmap includes a series of steps […]
Cloud Migration Best Practices
Organizations are migrating to the cloud because of various benefits: reduced administrative overhead, flexibility of expanding or contracting storage requirements at the push of a button, visible operational cost savings – and all without buying or retiring physical servers at the data center. An increasing number of enterprises and organizations see cloud migration not only […]
Data Literacy Skills Every Organization Should Build
Since we live in a data-driven world, companies with the appropriate talent to derive insights from business data do far better than their competitors. In today’s competitive global business landscape, modern businesses must treat their prime asset – data and data literacy skills – as a top priority to thrive and prosper in the global […]
Data Science Metrics: Purpose and Uses
When one thinks of “metrics” in the context of Data Science, the term might denote raw numbers as in descriptive metrics, qualitative labels as in marketing analytics, or comparative labels as in website analytics. Metrics come in many different forms and structures, but the primary objective of Data Science metrics is to measure and report […]
Analytics Solutions: Applications and Use Cases
Data and analytics are particularly critical to today’s businesses because they improve strategic decision-making. Analytics solutions and use cases provide customers with added value in health care, retail, higher education, manufacturing, and other industries that capture a lot of valuable data. By harnessing different types of analytics available, organizations across varying industries can understand how products are […]
Data Mesh 101
In today’s complex business environment, data lakes and data warehouses may not be sufficient to meet organizational requirements. From the perspective of agility, both data lakes and data warehouses have limitations when it comes to maintaining and managing various types of data. Enter data mesh. The idea of a data mesh was born when Zhamak Dehghani, the […]
Six Core Data Management Challenges
With so many different ways that data can be created and collected within an enterprise, it’s no surprise that Data Management challenges abound. Data usually comes from various sources, some of which cannot be trusted to be safe and compliant with regulatory standards. It can be gathered from large numbers of sources such as smart […]
Data Fabric Architecture 101
Today’s global organizations have data deployed both on-premises and across many cloud environments. In such a scenario, the biggest challenge is to find a single Data Management solution to enable businesses to access and connect data across disparate sources and provision a unified, virtual environment for data processing. “The emerging design concept called ‘data fabric’ […]
Data Privacy and Security Concerns for Multi-Cloud Organizations
The world is going multi-cloud. Enterprises are leveraging the benefits of multi-cloud services to improve operational efficiency, reduce costs, and drive faster innovation. What does this mean for data privacy? With data residing in multiple locations, it’s more important than ever for organizations to understand their data privacy risks and ensure that any sensitive data is protected. In […]
Data Science Solutions: Applications and Use Cases
Data Science is a broad field with many potential applications. It’s not just about analyzing data and modeling algorithms, but it also reinvents the way businesses operate and how different departments interact. Data scientists solve complex problems every day, leveraging a variety of Data Science solutions to tackle issues like processing unstructured data, finding patterns […]