Digital Transformation: What does Big Data mean for Business?

Big Data refers to the huge amount of information available that can be analyzed by computers in order to identify patterns and get meaning that might be too complex for traditional methods. In this article, you’ll learn what this means for businesses and how Big Data is already transforming different industries. Learning Objectives: Define what …

Basic understanding of Big Data and its terminology

This article intended to define big data and its related terms. This article first covers the three V’s of big data—high-volume, high-velocity, and high-variety—before describing how big data can aid in better decision-making for an organization. The article defines a variety of big data terms, but it focuses in-depth on different methods for analyzing unstructured …

How to Improve Quality, Richness and Analytics of Data Lake

Without an appropriate data strategy or advance planning, data lakes can quickly become unmanageable, particularly as businesses evolve and capture larger volumes of data. Now you’re a step closer to building a higher quality, well-structured data lake that’s fit for the future. In this article, we’ll explore how to prevent your data lake from becoming …

Create Customer-Centric Responsive Products with Big Data Analytics Solutions

What are you doing to improve your customer’s products usage experience? Data-enabled solutions enable software companies to deliver data-led customer-centric experiences, and gain operational scalability—providing application strategy and methodology is planned according to business needs. Read on this article to learn what place data applications have within the software development industry.

How to Build Cloud-based Data Analytics Platform to Support End-to-End Data Journey

How does your organization’s current measurement of business metrics stack up against industry best practices? Data analytics leaders know that a cloud-based Data Analytics Platform (DAP) integrates various data sources into an enterprise-wide analytics system. This article outlines key tenants of a future-proofed data analytics platform illustrates how your business can adopt cloud technologies to …

Top Developments of Big Data in Finance Companies

As far as big data is concerned, its impact on finance firms and Fintechs has been significant in the last couple of years. Studies show that without a shred of doubt. Whether it is online transactions, banking operations, dealing with loads of data, and making purchases using debit cards or credit cards, the finance companies …

Mastering Full Lifecycle API Management with Data Analytics

Full lifecycle API management entails not only technology solutions but also the data-driven processes and mindsets that those solutions enable. For enterprises to succeed, it’s essential to have visibility into every stage of the lifecycle—from the developer experiences to API performance to emerging business opportunities. Data plays a huge role in aligning business and IT …

Relationship between Business Intelligence (BI) and Advanced Analytics (AA) Capabilities

The Business Intelligence and Analytics Capabilities Report, written by the International Institute for Analytics and sponsored by SAS, examines the relationship between business intelligence (BI) and advanced analytics (AA) in large organisations. The report is based on a survey of midmarket and enterprise businesses about their current BI environments and AA capabilities, including analytics skills …

Essential Guide for Designing Data Lakes to Optimize Analytics

The proliferation of data forces modern businesses to continually find new and more efficient ways to consolidate and transform various data sources to make more informed decisions and gain a competitive advantage. What are the best ways for businesses to consolidate all of their data? One answer: a data lake. This option can handle the …

Steps to Plan and Launch Modern Data Catalog Implementation

This article will help you determine who should help, which resources you’ll need, and what success looks like for a catalog launch. Implementing a data catalog helps every member of your data community discover and use the best data and analytics resources for their projects, achieve faster results, and make better decisions. Data catalogs illuminate …