Today, businesses of all stripes are sowing the seeds of Big Data everywhere. And if we think Big Data is big, just think how that data multiplies and branches out when rooted in the multifaceted field of supply chain management.
Three stages are commonly used to categorize an organization's maturity in their use of business intelligence and analytics technologies: Descriptive, or what happened in the past? Predictive, or what will (probably) happen in the future? Prescriptive, or what should we do to change the future?
ABI Research forecasts that revenues from maintenance analytics will total $9.1bn this year. Following a CAGR of 22 percent, the market’s size will reach $24.7bn in 2019, driven largely by adoption of predictive analytics and M2M connectivity.
Analyst Insight: Industrial manufacturing includes a broad range of sub-verticals. Given the current global uncertainties, these companies are focusing on manufacturing and supply chain excellence while trying to grow their top lines. This will not stop the leaders from looking at many exciting new technologies that are emerging. The "manufacturing renaissance" going on is as likely to be around new technologies adopted as around where the manufacturing takes place. - Robert Eastman, Senior Analyst, Technology Evaluation Centers
Analyst Insight: More companies are using some type of "big data" software and analysis to drive their entire supply chains. Almost all supply chain organizations recognize this to be a competitive necessity. Big data is being used along all supply chain levers, from buy, make, move and sell. Successful applications require coordinated decisions across organizations and along the entire supply chain. - Nada R. Sanders, Professor of Supply Chain Management & Iacocca Chair, Lehigh University
Analyst Insight: When it comes to supply chain management, "Big Data" has generated more in the way of buzz than it has real benefit. Awash in a rising sea of data, companies still struggle to use it to make better decisions. - Brad Householder, Principal, PwC's Advisory practice; Anand Rao, Principal, PwC's Financial Services Advisory practice; Syed Mukhtar, Director, PwC's Operations practice
Big data is the all the rage and getting tons of press as it has allowed manufacturers and supply chain executives to create new and compelling data-driven strategies that help them compete, innovate and capture wallet-share. Perhaps fueled in part by the likes of leading database vendors or system integrators (SIs) looking to cash in on high-dollar predictive analytic and scoring engagements, big data represents many things to many people, but one of the most pragmatic applications is mastering all the data elements used in a business infrastructure. The term commonly used for this process is master data management, or MDM.
Decisyon Inc. has introduced a business-intelligence and performance-management platform that unifies social collaboration, analytics, planning and execution across multiple departments.
Until recently, projects were largely initiated by and implemented for IT departments, rather than business, and the focus was primarily on eliminating silos and moving from departmental to enterprise programs. That focus has shifted and the shift has led to a $14bn global market for business intelligence software in 2013"”one expected to eclipse $17bn by 2016, according to Gartner Group estimates.