JDA launches 'JXC' centre for future supply chain innovations
JDA Software has unveiled what it calls a “world-class” JDA Customer Experience Centre (“JXC”) located at its global headquarters in Scottsdale that will serve as a dynamic lab space showcasing tangible, hands-on technology innovations.
The 13,200 square-foot JXC will serve as a space for customers to see, touch, and interact with future supply chain innovations.
Its new facility is to be opened today during a ribbon-cutting event attended by over 100 JDA customers, partners, the Governor of Arizona, and other industry and government leaders.
“We are proud to unveil our new JDA Customer Experience Centre which showcases the innovations we are working on that will pave the way for the autonomous supply chain of the future,” said Desikan Madhavanur, executive vice president and chief development officer, JDA.
“Our vision for a connected, intelligent and autonomous supply chain is fueled by the innovations showcased in the JXC, leveraging the best in artificial intelligence (AI), cognitive computing, augmented reality and robotics.
“Now, customers can experience these in person firsthand when they visit our headquarters and we can strategise with them on how to apply these innovations to their future digital supply chain projects.”
In a labs space dubbed the Lighthouse, the new JXC will showcase JDA Luminate next generation solutions and enhancements to JDA core products that embrace digital edge technologies such as artificial intelligence and advanced analytics, IoT; VR and robotics
Customers will also have the ability to “virtually visit” the JXC, which will be made possibly by iBeam technology, which will allow viewers to virtually ‘beam’ into the JXC and experience some of the demonstrations through their devices.
5 Minutes With: Jim Bureau, CEO Jaggaer
What is data analytics, and why is it important for organisations to utilise?
Data analytics is the process of collecting, cleansing, transforming and analysing an organisation’s information to identify trends and extract meaningful insights to solve problems.
The main benefit for procurement teams that adopt analytics is that they’re equipped to make faster, more proactive and effective decisions. Spend analysis and other advanced statistical analyses eliminate the guesswork and reactivity common with spreadsheets and other manual approaches and drive greater efficiency and value.
As procurement continues to play a central role in organisational success, adopting analytics is critical for improving operations, meeting and achieving key performance indicators, reducing staff burnout, gaining valuable market intelligence and protecting the bottom line.
How can organisations use procurement analytics to benefit their operations?
Teams can leverage data analytics to tangibly improve performance across all procurement activities - identifying new savings opportunities, getting a consolidated view of spend, understanding the right time for contract re-negotiations, and which suppliers to tap when prioritising and segmenting suppliers, assessing and addressing supply chain risk and more.
Procurement can ultimately create a more comprehensive sourcing process that invites more suppliers to the table and gets even more granular about cost drivers and other criteria.
"The main benefit for procurement teams that adopt analytics is that they’re equipped to make faster, more proactive and effective decisions"
Procurement analytics can provide critical insight for spend management, category management, supplier contracts and negotiations, strategic sourcing, spend forecasting and more. Unilever, for example, used actionable insight from spend analysis to optimise spending, sourcing, and contract negotiations for an especially unpredictable industry such as transport and logistics.
Whether a team needs to figure out ways to retain cash, further diversify its supply base, or deliver value on sustainability, innovation or diversity initiatives, analytics can help procurement deliver on organisational needs.
How is data analytics used in supply chain and procurement?
Data analytics encompasses descriptive, diagnostic, predictive and prescriptive data.
Descriptive shows what’s happened in the past, while diagnostic analytics surface answers to ‘why’ those previous events happened.
This clear view into procurement operations and trends lays the groundwork for predictive analytics, which forecasts future events, and prescriptive analytics, which recommends the best actions for teams to take based on those predictions.
Teams can leverage all four types of analytics to gain visibility across the supply chain and identify optimisation and value generating opportunities.
Take on-time delivery (OTD) as an example. Predictive analytics are identifying the probability of whether an order will be delivered on time even before its placed, based on previous events. Combined with recommendation engines that suggest improvement actions, the analytics enable teams to proactively mitigate risk of late deliveries, such as through spreading an order over a second or third source of supply.
Advanced analytics is a research and development focus for JAGGAER, and we expect procurement’s ability to leverage AI to become even stronger and more impactful.