ExceleratedS2P Receives SAP Ariba EMEA North Partner of the Year Award
The award was presented by SAP Ariba to the top-performing partne...
ExceleratedS2P has been named as the SAP Ariba EMEA North Partner of the Year Award.
The award was presented by SAP Ariba to the top-performing partner in the EMEA North region that made outstanding contributions to driving customer digital transformation.
ExceleratedS2P has been – in partnership with SAP – helping customers adopt innovation easily, gain results rapidly, grow sustainably and run more simply with SAP Ariba solutions.
“The entire team at ExceleratedS2P is extremely proud to be given this award from our strategic partner,” Conor Mullaney, Co-founder of ExceleratedS2P.
“The award is a well-earned recognition of all the hard work that the team has given in 2017 in supporting a large number of customers to deliver on their procurement transformation journey. ExceleratedS2P’s approach has been to partner with SAP Ariba across all areas of product development, pre-sales, implementation and post-delivery support to offer our customers a best in class solution.”
SAP’s Ariba Partner of the Year Award is based on select criteria, including sales impact, quality of services, market influence, and product innovation.
“ExceleratedS2P is a prime example of how purpose and commitment – and complete dedication to the customer – leads to success,” said David Johnston, senior vice president, Partner Ecosystem, SAP Ariba.
“I am honoured to recognise and congratulate ExceleratedS2P as the recipient of the SAP Ariba EMEA North Partner of the Year Award. We look forward to continuing to work closely together in 2018.”
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.