Agresso Analyzer Native to Vita Architecture and Agresso ERP
On December 10, 2013, UNIT4 announced the release of Agresso Analyzer, an in-memory analytics tool that adds rapid data analysis capabilities to its Agresso enterprise resource planning (ERP) solution. Unlike other solutions on the market from its largest competitors that were developed independently in technology labs and later integrated with Enterprise Resource Planning (ERP) solutions, Agresso Analyzer was built from the inside out. Native to its Vita architecture, best known for its ability to facilitate business-driven change, it is a clear and powerful response to the need to digest and analyze increasing volumes of enterprise data.
With UNIT4, It’s All About Change
You can’t have a conversation with or about UNIT4 ERP without talking about change. After all, its target market for the product is comprised of Businesses Living IN Change (BLINC), particularly those in government and service-oriented segments. The acronym BLINC has become synonymous with UNIT4. But typically in these conversations we’re talking about changes to the business resulting from new or changed regulatory requirements, organizational restructuring, mergers and acquisitions, business process or financial management driven changes. UNIT4’s claim to fame is the underlying Vita architecture that supports post-implementation agility and the ability to easily and quickly reflect these changes in the software with minimal cost and disruption.
This conversation is a little different though. We’re talking about technology and innovation of the software itself. We’re talking about bringing in-memory analytics to the table, which means a technology upgrade. UNIT4 has taken a different approach than it’s two largest competitors, SAP and Oracle, both of which have developed in-memory technology outside of the applications. These technical solutions must then be retrofitted into their enterprise applications, or the applications have to be modified to take advantage of these technologies. UNIT4 did it the other way around, building them from the inside out. While sold as an “add-on,” Agresso Analyzer is native to the Vita architecture. No changes are required to the installed software or the implementation and the tool can be installed and turned on in a matter of hours. And all the data in ERP is fair game for slicing and dicing, analyzing and using for better, faster decisions.
The net result is that businesses, even those living in change, can see the impact of business changes faster. These changes might result from government and/or industry legislation, reorganizations, mergers or acquisitions, financial management or business process changes.
Bringing the Benefits To the Business User
While in-memory is a hot topic today in technical circles, often the value is not obvious to a businessperson. Embedding this capability into the Vita architecture, and therefore into Agresso ERP also helps the typical business user understand the benefits. What businessperson doesn’t want to have better, quicker, more flexible access to data within ERP?
Partly because the largest vendors, those with the loudest voices, have developed in-memory capabilities independently in their technology labs and partly because technologists delivered the message, much of the talk has been in very technical terms. Phrases like massively parallel processing (MPP), column oriented databases, real-time caching, online transaction processing (OLTP), online analytical processing (OLAP) are tossed about assuming the audience understands the significance. The typical businessperson doesn’t.
The vision became one of powerful technology in search of a problem to solve. That’s not at all how business executives and non-technical decision-makers think. Instead they think in terms of business problems. “I have this problem. How are you going to help me solve it?” Even UNIT4, which usually keeps the conversation at the business level, is talking about associative filtering. Don’t even bother to Google the term. I can follow the discussion (just barely) because I happen to have a degree in mathematics, but the algorithmic explanations will be incomprehensible to most business people.
Suffice to say, in-memory analytics provides you with the ability to process and analyze enormous volumes of data very fast. When we’re talking about the data in ERP systems, the speed is such that the results appear to be instantaneous, allowing you to make decisions from data at a far more granular level.
Analyzer starts with a snapshot of the data. That snapshot can be as simple as a straightforward report that a user already has, like a revenue report. But while a report allows you to analyze the data based on a single dimension (e.g. territory) or maybe two dimensions (product line by territory), in-memory analysis removes these single or dual dimension limitations. As long as the data required for complex, multi-dimensional analysis is included in the defined data set, it can be compressed, presented and analyzed virtually instantaneously. Because the data itself might be complex and requires a level of knowledge about the underlying data structures, it generally takes a super-user to set up the data set to be analyzed. But then putting it in the hands of the business user, it becomes extraordinarily powerful.
By embedding the in-memory capabilities into the Vita architecture and the Agresso ERP, UNIT4 has taken a lot of the mystery out of the powerful technology. By offering it as an extension to ERP, the value also becomes a natural extension. No extraordinary vision required. It allows business decision makers to take the same data they have struggled with in the past, understand it better and get to decisions faster and with greater confidence.
Of course ERP data is not the only data needed for decisions. It remains to be seen how quickly UNIT4 will be able to add in other sources of data. It is already planning to incorporate these capabilities into its recently announced new financial performance products: UNIT4 Cash Flow Planning and UNIT4 Consolidation. These types of applications have the potential to pull in data from many different disparate sources, including from banks and other treasury-related sources.
And then of course there is a wealth of unstructured data available through the Internet. As UNIT4 customers begin to graze from the very consumable and digestible data in ERP, eventually their appetites will grow to encompass a larger menu of potential “feeds.” This will put pressure on UNIT4 to add more capabilities for more diverse data sources, but this will still give UNIT4 customers a competitive edge over those who might have invested in an elegant technical solution but are still in search of a problem to solve.