Digital Transformation & Software Engineering Services
Menu

OLAP Cubes on Hadoop: Accelerating Interactive Big Data Analytics on Hadoop

OLAP (Online Analytical Processing) is the main concept behind many Business Intelligence (BI) tools used for data discovery, reporting, what-if analysis, budgeting, forecasting, planning etc. Many organizations are trying to find ways to offload some of the high volume, complex processing-intensive Enterprise Data warehouse (EDW) data marts and business logic to the Hadoop platform. Business […]read more »

Why Data Science is Vital and How it Adds Value to Businesses

Data is everywhere. Businesses are generating data – both structured and unstructured–at an unprecedented speed from all types of sources: IoT sensors, social media, electronic gadgets, e-commerce sites and more. But, it’s not the copious amount of data that provides value for businesses. What really matters is how organizations aggregate and leverage data to generate […]read more »

The Quest for Data Scientists and The Impact of “Instant Data Science” Products

Today’s world is built on data; each digital transaction, interaction and activity generates and captures voluminous amount of data per day, which in turn holds meaningful information on behaviors, preferences, trends and forecasts. Many companies want data experts and are willing to pay a high price for the right candidates. These hard-to-find experts are responsible […]read more »

Servitization and Intelligent Platforms: Insights from an Engaging Discussion in Munich

Ness put on an elegant evening for our clients and other progressive organizations at the beautiful (and sun dappled) Mace restaurant (http://mace-restaurant.de/) in Munich on Wednesday 18 October. I was lucky enough to moderate an incredibly insightful panel discussion on the opportunities and challenges arising out of the rapid, ubiquitous advance of the intelligent platforms […]read more »
Tableau Online

Tableau Online – Data Visualization for All

One of Ness’s customers is an online retailer which relies on an Enterprise Data Warehouse and a Business Intelligence platform to support their data analytics needs and day-to-day business operations. The company faced several issues: Inability to get real-time data insights for various business performance metrics. The BI tool is used mostly for ad hoc […]read more »
AI and Data analytics

Why AI and Big Data Analytics Make an Inseparable Pair

Unless we’ve been living under a rock, we likely are aware that AI (Artificial Intelligence) is one of the fastest growing technology segments. How to keep pace with this technology advancement is a major question being discussed in corporate boardrooms. This article discusses why AI and big data analytics are an important pairing. For businesses […]read more »

Improving Loss Prevention in Retail Stores by Applying Swarm Intelligence

In Retail, theft and intentional damage to merchandise is a common problem. Retailers have several loss-prevention solutions in place, but theft still occurs as shoplifters find new ways to steal a product or even part of a product. Monitoring systems at retail stores use traditional video surveillance where the person behind the camera determines unusual behavior […]read more »