As competition heats up in the grocery aisle, big data is gaining traction as the tool supermarkets need to counter rivals and remain profitable. Grocery stores and other distribution centers can use data analytics to understand which products consumers are purchasing and which are bringing in the
Keep the insights coming from IBM InterConnect 2016 with this episode of the Open for Data podcast, in which Adrian Bowles of RTInsights shares his perspective on what open source initiatives mean for big data analytics.
Organizations looking to be more data-driven than ever before not only want to pervasively enable analytics across their enterprises, but they also aim to allow for enhanced collaboration and interaction. In this second InsightOut series installment, see how they can face the challenges to
Analytics aren't just for measuring performance; they can also help shape efficient educational institution infrastructures. This involves using predictive analytics to ensure maximum efficiency in the classroom, and if executed properly, the rewards are huge.
The Internet of Things is at the heart of the digital transformation we are witnessing in society today. The advancements of this connectable ecosystem bring several important considerations including data security and privacy and the elements of the infrastructure. In this second installment of a
It's harder than ever for CPG brands to capture consumer attention and wallet share. A solid micro-marketing strategy can help by segmenting consumers into smaller demographic groups and then delivering more personalization and relevance in messaging and offers.
The Internet of Things is the digital future that is dead ahead. Are industries and businesses prepared for the onslaught of data that is already transforming our world today? In this series, take a glimpse into this future and the questions that will need to be addressed for all that the Internet
Historically, policing has been a largely reactive pursuit. Today, anticipating criminal behavior has taken on a new meaning: Data-driven prediction of high-risk people, places and events allow police to work more proactively than ever before.
When looking to improve customer satisfaction, most telecommunications providers immediately think of streamlining the call center, reducing outages and increasing technician success. Billing is typically an afterthought and not linked to customer satisfaction, but organizations that don't improve
For the transportation industry, predicting operational failures before they occur cuts down on the high costs that come with lost productivity and limited performance. Consider the ways technology is making businesses better able to take a proactive role before breakdowns disrupt critical