The E-Sourcing Category

Jaggaer ONE: A Comparative Analysis of the S2P Suite (Source-to-Pay SolutionMap Analysis)

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When source-to-pay suite provider Jaggaer announced in early February the release of Jaggaer ONE, a platform that unifies the provider’s acquired solutions into a single offering, it took a big step forward in clarifying the firm’s strategy. Using a services-oriented architecture (SOA) that allows users to select discrete business processes (i.e., modules) from Jaggaer’s portfolio of technology solutions, Jaggaer ONE has articulated a vision for the company beyond bringing the code and customers from SciQuest, Pool4Tool and BravoSolution under one roof.

Jaggaer noted with the release of Jaggaer ONE that it is unifying three of its product lines — Jaggaer Indirect, Jaggaer Direct and Jaggaer Advantage — without moving them onto a single code base, allowing customers and prospects to select the best modules from each offering to fit an organization’s unique needs. It’s a cafeteria approach that allows clients to assemble a “synthetic” source-to-pay suite rather than wrestle with a patched-together “Frankensuite” (or “Frankensuite’s monster,” if you have to be that guy).

But with three distinct product choices that each cover some or all areas of the source-to-pay cycle, Jaggaer ONE presents opportunities for too much choice. How can current Jaggaer clients, prospective customers, systems integrators and consultancies determine which modules to select from the Jaggaer ONE portfolio, and how do the best-performing modules from Jaggaer ONE fare when compared against other market leaders for specific point or suite products?

This Spend Matters SolutionMap analysis examines Jaggaer’s solutions by modular and suite view to help interested parties understand the best components that make up Jaggaer ONE. It offers insight into which areas Jaggaer is strong in (and where it lags), and how competitive this SOA-unified suite is compared with other procure-to-pay (P2P), strategic procurement technologies (SPT) and source-to-pay (S2P) in comparison to its broader peer group including Coupa, Ivalua, Oracle, SAP Ariba, Synertrade and Zycus.

Overall, the results paint a comparatively promising picture for Jaggaer ONE on a functional basis, and our hats go off to the Jaggaer team for assembling such a robust set of suite building blocks — with additional enabling solutions for specific industries that extend beyond what SolutionMap even prioritizes as key ranking criteria.

For this analysis, our report uses the aggregate results of nine SolutionMaps from Q4 2018 (the most recent in our quarterly update cycle), comparing a total of 58 solution providers across more than 600 granular functional benchmarks, which are aggregated into more manageable, tiered buckets for the purpose of this analysis. (Those procurement organizations leveraging SolutionMap for a software selection process gain insight into comparative performance at a significantly more granular level of detail that maps business requirements to functional performance.) The SolutionMap analyst ratings used in this analysis are based on more than 3,000 hours of live product demonstrations and validated vendor RFI responses.

In subsequent briefs exploring Coupa, Ivalua, SAP Ariba and others, we will take a similar approach to analyzing source-to-pay providers, breaking down where end-to-end platforms excel (or fall below the functional benchmark) on module and suite bases.

Corcentric to Acquire Determine: Valuation, Transaction Overview, Customer Recommendations and Competitive Landscape Analysis (Part 2) [PRO]

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Corcentric’s pending acquisition of Determine will create one of the more unique procurement and finance solutions providers in the market. In addition, the transaction, upon closing, will firmly establish Corcentric as a software (SaaS/cloud platform) provider in the source-to-pay sector. But what are the implications for Corcentric’s and Determine’s customers and the broader competitive market?

Part 1 of this Spend Matters PRO brief provided an overview of the combination (by the numbers), an analysis of the transaction/valuation and our “elephant in the room” observations.

Today, we turn our attention to customer recommendations for Corcentric and Determine users and offer a perspective on the competitive landscape implications of the transaction.

In later PRO briefs, we will offer our view of Determine’s functional strengths and weaknesses in both the procure-to-pay (i.e., e-procurement and invoice-to-pay) and strategic procurement technologies (e.g., sourcing, CLM, etc.) areas.

Need to Gain a Competitive Edge? Find Procurement Software That’s Easy to Use

If stakeholders across the company don’t have procurement software that lets them complete sourcing activities quickly or whenever they want and with ease, then they can’t support the procurement workflows — and effectively, the business. It’s not only the procurement team that experiences friction and frustration, the entire business can feel the impact of not getting the best value or vendor. For this reason, stakeholders for procurement activities need a means of adopting, engaging and participating in workflow activities that is easy to learn, easy to use and is collaborative.

Many Fintechs Still Rely on Bring-Your-Own-Bank Strategy for Supply Chain Finance

Today, banks are by far the dominant player in providing supply chain finance, and do so in four ways. And many Fintechs that offer source-to-pay (S2P) and other supply chain collaboration solutions still have a strategy of using their clients’ house banks for supply chain finance. While it makes things easy if the customer can bring their own bank, it does not come without risk.

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Achieving a Personalized Buying Experience for Businesses

Today’s technology enables fine-grained customization and personalization. When applied correctly, personalization can lead to a better customer experience and higher sales or engagement. If applied poorly, it can detract from the user experience, causing frustration and possibly missed sales. In this article, we’ll walk through some of the personalization that can be enabled when using Amazon Business, helping to make it easier to find the right products and better control rogue spending.

If you’re not familiar with it, Amazon Business makes it easy for business customers to find and buy from hundreds of thousands of sellers and helps sellers reach millions of registered business customers around the world. Similar to Amazon.com, buyers search for products from millions of available items. For businesses, personalization helps make the buying experience fast and efficient. From relevant search results to customized messaging, buyers can find the items they need, and know upfront if they are approved for company purchase.

Artificial Intelligence in Sourcing: The Day After Tomorrow [PRO]

In Spend Matters’ last PRO article about AI in Sourcing, we reviewed some of the exciting capabilities that you will be able to expect in tomorrow's e-sourcing systems, where we define AI as “augmented intelligence” because, as we've repeatedly stated in our articles in this ongoing AI series, there is no true artificial intelligence in any enterprise technology today. In fact, there won't be anything close, at least on the open market, even tomorrow. But it will be closer tomorrow, and it will approach the point where it can be labeled augmented intelligence as it will allow you to make better, smarter, decisions — no matter how good and smart the decisions were that you made in the past.

In the last article, we discussed the following augmented intelligence capabilities in particular that will be part of tomorrow's e-sourcing platforms:



  • Event-based category alignment
  • Market-based sourcing strategy identification
  • Automatic strategic sourcing events
  • Suggested award scenarios

However, as great as event-based category alignment and market-based sourcing strategy identification will be, and as fantastic as automatic strategic sourcing events with suggested awards will be, there will be even better augmented intelligence capabilities in the e-sourcing platforms of the future. Specifically, the day after tomorrow, you will be able to expect the following seemingly magical capabilities:

  • SKU replacement
  • End-of-life (EOL) recommendations for products
  • Real-time strategy alignment
  • Auto-pause/extend

And more. But anything beyond these could be quite a ways out, so we will stick to these for now.

An Introduction to Sourcing Business Intelligence (Part 3): Analytics and AI in a Sourcing Context [PRO]

In the third installment of this Spend Matters PRO series, we turn our attention to how traditional human intelligence and artificial intelligence intersect with sourcing business intelligence (BI), leading to a new type of cognitive procurement built on larger and larger data foundations.

We trace the evolution of select artificial intelligence (AI) applications in procurement that are generally available today and provide examples of models that are just becoming mainstream in select markets.

But most important, we show how it is possible to let a combination of off-the-shelf capabilities and “as a service” providers do the heavy lifting in the journey toward sourcing (business) intelligence and more broadly toward supply (business) intelligence.

On Scanmarket sale, co-founder Ole Nielsen says goal was ‘staying true to our mission’

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After Scanmarket announced last week that it had sold its e-sourcing business to an equity partner, co-founder Ole Nielsen spoke with Spend Matters UK/Europe Editor Nancy Clinton.

In a Q&A, Nielsen touches on the 1999 origins of the company (making one of the first online B2B marketplaces), he delves into the reasons behind the sale and displays the personal attention to detail that has made the sourcing provider known for its ease of use.

“We were more concerned with staying true to our mission of getting the right fit,” he says. “That’s why we chose to partner with Verdane; they were like-minded in our business plan and direction of the company.”

Artificial Intelligence in Sourcing Tomorrow (Part 2) [PRO]

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In this Spend Matters PRO series on AI in Sourcing, we began our discussion of some situations where you will find AI in e-sourcing platforms, where AI is defined as “augmented intelligence” (because, as we have discussed in prior articles, there is no true artificial intelligence in enterprise platforms today and there won't be tomorrow either). AI is a buzzword, not a reality. But we don't need true AI to achieve software that can radically increase our productivity. Reaching augmented intelligence will add multiples to our productivity and savings.

In our last post, AI in Sourcing Tomorrow (Part 1), we discussed how the sourcing platforms of tomorrow will offer event-based category alignment functionality as well as market-based sourcing strategy identification. Together, these augmented intelligence features will not only save you a lot of time and effort in the identification and conducting of a proper sourcing event, but will also maximize your chances of success with the strategies that you follow.

It will be a magnificent start to the sourcing process. But it won't stop there. Because it can't stop there.

As per our article on AI in Sourcing Today, there's a lot of manual effort involved in a sourcing event. And the platforms of tomorrow will integrate workflow automation and auto-fill to handle a lot of the drudgery that will be required in any sourcing project.

However, just including workflow automation and auto-fill isn't getting you to sourcing utopia, where you’re getting maximum return for minimum effort. Something more is needed. How much more? Let's read on to find out.

Scanmarket Sells the Strategic Sourcing Vendor to Verdane

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Scanmarket, a strategic e-sourcing provider, announced it has sold a 90% stake in its source-to-contract (S2C) company to private equity firm Verdane. The founders of Scanmarket, CEO Betina Nygaard and CCO Ole Nielsen, will retain a 10% share and continue to lead development at the Denmark-based software firm, according to the announcement. Spend Matters lead analyst Michael Lamoureux said the company has “a lot of potential, and a track record to back it up.”

Artificial Intelligence in Sourcing Tomorrow (Part 1) [PRO]

In Spend Matters' last PRO article, Artificial Intelligence in Sourcing Today (The Situation Now), we overviewed some scenarios where you can find AI in e-sourcing platforms today, where we define AI as “assisted intelligence” because, as we've stated in this series about AI in modern sourcing and procurement technologies, there is no true artificial intelligence in any enterprise technology today. In fact, there is nothing close, at least not on the open market.

But we will be closer to artificial intelligence tomorrow, and in the near future, we may get to the point where the average market leading platform offers you augmented intelligence on a daily basis.

In our last article, we reviewed the common instances of the assisted intelligence technologies on the market today, namely: auto-fill, workflow automation, outlier identification and rule-based auto-award identification.

However, this is just the beginning of what you should have as a sourcing professional, especially considering what's coming in AI Tomorrow. For example, if you go back to our series in AI in Procurement Tomorrow, you know that soon you will have technologies to prevent overspend, buy on your behalf invisibly, buy automatically, identify opportunities while you sleep, identify new categories before you know of their existence and identify procurement methodologies for success.

But these improvements will spill over into the sourcing domain as well. In Tomorrowland, as a buyer, you will also have augmented intelligence technologies that will allow for:

* Event-Based Category Alignment — not just new category detection * Market-based Sourcing Strategy Identification — not just the right methodology for procurement * Automatic Strategic Sourcing Events — not just auto-buy from a catalog or contract * Suggested Award Scenarios — not just canned options

And it will make your buying life much more efficient. But how?

Artificial Intelligence in Sourcing Today (The Situation Now) [PRO]

Not that long ago we ran a six-part series on AI in Procurement (Today Part I and Part II; Tomorrow Part I, Part II, Part III; and The Day After Tomorrow). By the time we defined the levels of AI today, what will be possible in the future and just how far AI in procurement will take you, you probably thought that was all there was too it and were impatiently awaiting the day when your "best of breed" applications would catch up.

The reality is that this is just the tip of the iceberg.

When your platform provider (or, if necessary, your future platform provider) catches up and starts offering you modern capabilities, those capabilities should extend well beyond procurement and spill over into multiple areas of S2P, including sourcing.

So to whet your appetite about what should be coming next, and to make sure your provider knows that you know what should be coming next (and will be holding them accountable), in this series we're going to dive into the applications of AI in sourcing and discuss what is available today, what is coming tomorrow — and what is in your strategic buying future.