Iptor Supply Chain and IBM partner to provide cloud infrastructure services
Supply chain management firm Iptor Supply Chain Systems has agreed a deal with IBM to provide a range of cloud infrastructure and managed service offerings to Iptor’s existing and future customers.
Iptor said the deal brings together a leading supply chain management vendor and a leading cloud services and infrastructure provider
It will this allow Iptor to deliver pre-set cloud ERP offerings for its new customers but also it will future proof existing customers by supporting the migration of those who do not currently operate in a cloud environment.
This will provide them with a ‘one stop shop’ for solutions, services and technology.
Additionally, as part of the 10-year agreement, further value-added services will be developed in the coming months. By providing modern, secure, flexible solutions Iptor is reducing the complexity of their customers’ IT, allowing them to focus on their business not their technology.
The offering supports customers with the highest level of data security for the upcoming General Data Protection Regulations (GDPR) and with 24/7 support and IBM’s wider ecosystem.
Jayne Archbold, Iptor CEO, commented: “Our agreement with IBM is an enormous step in delivering our Cloud First strategy. Not only does it mean we can implement a state-of-the-art solution in a very short time but also it means that customers can be confident in the knowledge that they are supported by IBM’s ecosystem now and into the future.
“A year ago, we set out our vision to help distribution-focused organisations solve their most complex order management and fulfilment challenges in a world where exceptions are the rule – with this announcement we continue to deliver on that.”
Henrik B. Rasmussen, IBM Executive GTS Nordic, commented: “Many businesses operate in increasingly complex, fast moving environments where order management is complex and data regulation and compliance is becoming ever more complicated.
“They are faced with the problem of how best to leverage the cloud to solve these challenges, when in many cases they do not have the skills or expertise to manage this themselves, yet know they cannot stand still in the market.
“Therefore, they are looking for service providers who have the expertise and experience to manage this for them whilst they focus on running and growing their business. This agreement delivers exactly that.”
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.