Oracle releases new cloud analytics offering for Oracle Fusion SCM offering

Posted on by Teddy Nee

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Oracle, a global provider of integrated cloud applications and platform services, announced it rolled out a new cloud analytics offering for its shipper customers using its Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) platform, which connects shippers’ supply networks with an integrated suite of cloud business applications.

Earlier this month, Oracle, a global provider of integrated cloud applications and platform services, announced it rolled out a new cloud analytics offering for its shipper customers using its Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) platform, which connects shippers’ supply networks with an integrated suite of cloud business applications.

Oracle said that the new cloud analytics provide shippers with the needed insights “to detect, understand, and resolve issues faster throughout the supply chain.” And they added that in leveraging Oracle Analytics Cloud and Oracle Autonomous Data Warehouse, the new Oracle Fusion SCM Analytics provides shippers with pre-built metrics and dashboards that utilize machine learning capabilities that help shippers on various fronts, including reducing costs, ensuring customer satisfaction, and driving revenue.

“Supply chains are under immense scrutiny as organizations face new and unexpected disruptions,” said T.K. Anand, senior vice president, Oracle Analytics, in a statement. “Now more than ever, organizations need real-time insights into every element of their supply chain to help them make the right decisions and get ahead of disruptive events and changing customer expectations. With Oracle Fusion SCM Analytics, customers can quickly uncover supply chain performance insights, identify issues, increase efficiency, and minimize supply chain disruption.”

Jon Chorley, GVP of SCM Product Strategy and Chief Sustainability Officer, Oracle, provided LM with a detailed overview this new offering in interview.

LM: What drove the need for Oracle to roll out Oracle Fusion SCM Analytics?
LM: What are the main benefits of the new analytics capabilities for shipper customers?
LM: Can you please provide a basic example of how it functions?

This example highlights how Oracle Fusion SCM Analytics provides customers with new ways of working with data by using machine learning-powered predictions, which helps organizations gain actionable insights to improve supply chain performance – and ultimately deliver the best possible customer experience.

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Big data analytics technology: disruptive and important?

Posted on by Teddy Nee

Of all the disruptive technologies we track, big data analytics is the biggest. It’s also among the haziest in terms of what it really means to supply chain. In fact, its importance seems more to reflect the assumed convergence of trends for massively increasing amounts of data and ever faster analytical methods for crunching that data. In other words, the 81percent of all supply chain executives surveyed who say big data analytics is ‘disruptive and important’ are likely just assuming it’s big rather than knowing first-hand.

Does this mean we’re all being fooled? Not at all. In fact, the analogy of eating an elephant is probably fair since there are at least two things we can count on: we can’t swallow it all in one bite, and no matter where we start, we’ll be eating for a long time.

So, dig in!

Getting better at everything

Searching SCM World’s content library for ‘big data analytics’ turns up more than 1,200 citations. The first screen alone includes examples for spend analytics, customer service performance, manufacturing variability, logistics optimisation, consumer demand forecasting and supply chain risk management.

Read more at Big data analytics technology: disruptive and important?

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10 ways big data is revolutionising supply chain management

Posted on by Teddy Nee

Big data is providing supplier networks with greater data accuracy, clarity, and insights, leading to more contextual intelligence shared across supply chains.

Forward-thinking manufacturers are orchestrating 80% or more of their supplier network activity outside their four walls, using big data and cloud-based technologies to get beyond the constraints of legacy enterprise resource planning (ERP) and supply chain management (SCM) systems. For manufacturers whose business models are based on rapid product lifecycles and speed, legacy ERP systems are a bottleneck. Designed for delivering order, shipment and transactional data, these systems aren’t capable of scaling to meet the challenges supply chains face today.

Choosing to compete on accuracy, speed and quality forces supplier networks to get to a level of contextual intelligence not possible with legacy ERP and SCM systems. While many companies today haven’t yet adopted big data into their supply chain operations, these ten factors taken together will be the catalyst that get many moving on their journey.

The ten ways big data is revolutionising supply chain management include:

The scale, scope and depth of data supply chains are generating today is accelerating, providing ample data sets to drive contextual intelligence.

Enabling more complex supplier networks that focus on knowledge sharing and collaboration as the value-add over just completing transactions.

Big data and advanced analytics are being integrated into optimisation tools, demand forecasting, integrated business planning and supplier collaboration & risk analytics at a quickening pace.

Big data and advanced analytics are being integrated into optimisation tools, demand forecasting, integrated business planning and supplier collaboration & risk analytics at a quickening pace.

Using geoanalytics based on big data to merge and optimise delivery networks.

Big data is having an impact on organizations’ reaction time to supply chain issues (41%), increased supply chain efficiency of 10% or greater (36%), and greater integration across the supply chain (36%).

Embedding big data analytics in operations leads to a 4.25x improvement in order-to-cycle delivery times, and a 2.6x improvement in supply chain efficiency of 10% or greater.

Greater contextual intelligence of how supply chain tactics, strategies and operations are influencing financial objectives.

Traceability and recalls are by nature data-intensive, making big data’s contribution potentially significant.

Increasing supplier quality from supplier audit to inbound inspection and final assembly with big data.

Read more at 10 ways big data is revolutionising supply chain management