Ventana Research Analyst Perspectives

Business process reengineering (BPR) was a consulting fashion in the early 1990s that spurred many companies to purchase their first ERP systems. BPR proposes a fundamental redesign of core business processes to achieve substantial improvements in market and customer responsiveness, productivity, cycle times and quality. Those early ERP systems provided a platform to manage cross-functional business processes with much greater flexibility and efficiency than had been possible in the past, partly because it took advantage of the commercialization of relational database technology, the graphical user interface, client-server networks and event-driven programming. ERP and other digital systems support business process reengineering by guiding the step-by-step execution of the redesigned process to ensure that it is performed consistently. They also automate the handoffs between individuals and departments as well as manage approvals and exceptions to accelerate completion of that process and permit supervisory personnel to spend more time focusing on matters that require their judgement and experience and less time on administrivia.

Customer service and support (CSS) is a term with two meanings. Most generally, it refers to the functions of a contact center in handling post-sales customer inquiries that require some effort or action on the part of the business. More specifically, it refers to the elements of the software stack that facilitate those operations, primarily case tracking and trouble ticketing.

Ventana Research defines intercompany financial management as a discipline for structuring and handling transactions within a corporation and between its legal entities. IFM is designed to maximize staff efficiency and accounting accuracy while optimizing tax exposure, minimizing tax leakage and ensuring consistent tax and regulatory compliance. Today, IFM is an obscure topic, but I assert that by 2025, one-half of organizations with 10,000 or more employees will have implemented intercompany financial management to achieve tax, risk-management and financial close benefits.

The objectives of zero-based budgeting are well aligned with what I call integrated business planning, a technology-enabled approach to managing the forward-looking activities of a corporation including forecasting, planning and budgeting. IBP enables every business unit to plan their business in a way that makes sense to them but also makes the numbers in those plans available for company-wide planning, budgeting analysis and reporting. IBP combines operational planning and financial budgeting using models constructed around the things that managers manage, translating those elements into a financial budget. This approach can compress the time required to create and update operating plans from days or weeks to hours or minutes. Our Next-Generation Business Planning Benchmark Research found that IBP is a superior approach.

Subscription pricing models are no longer new. Many companies have experience with this pricing model even if there has not been complete adoption across their entire product and service offerings. Companies that use this model, or have spent time looking at the approach, understand the approach of a recurring revenue stream based on a repeating flat fee.

Alation recently announced the release of its 2021.1 version, introducing new data governance capabilities, enhancements in search and discovery through data domains, and extended connector and query coverage for data sources. Alation’s new federated authentication enables users to query cloud services such as Amazon Web Services, Snowflake, Tableau and more, using a single sign-on. The release also includes a Search application programming interface that allows for the integration of Alation Search with third-party tools. And, with the addition of the Open Connector Framework software development kit in the 2021.1 update, Alation enables organizations to create connectors for data sources not already supported by Alation.

Unit4’s Financial Planning and Analysis (formerly Prevero) is a planning and budgeting application designed for the requirements of midsize corporations and the public sector. These organizations are challenged in buying software because they have almost all the requirements of larger enterprises but have a smaller budget and limited technical resources.

Financial consolidation software assists companies in executing their accounting close process - especially those that use multiple ERP systems or have multiple legal entities - and with other characteristics that can complicate the process such as keeping books in multiple currencies. Not every midsize company needs consolidation software because many find their ERP (or financial management) software satisfies their needs. Our Office of Finance research finds that just 5% of midsize companies (which we define as those with 100-999 employees) use consolidation software to manage the process while 30% use their ERP system and another 51% use desktop spreadsheets either completely or to a significant degree. Using consolidation software can help shorten the close, especially when it substantially reduces the use of spreadsheets. Consolidation software supports the management discipline of continuous accounting.

Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities. Data quality efforts are focused on clean data. Yes, clean data is important. but so is bad data. To be more accurate, the original data as recorded by an organization’s various devices and systems is important.

There is a sea change happening in the Human Capital Management systems market. Historically, the predominant orientation of human resources departments has been about mission and goals from an employer’s perspective, spanning areas such as regulatory compliance, workforce costs, efficiency and effectiveness levels, and actions needed to improve skills and overall impact. This rather one-sided focus is now in the rearview mirror of many successful organizations. There’s a new orientation or operating lens as it relates to the enterprise’s workforce: “What does a worker need to be extremely effective but also have a high-quality ̶ if not positively memorable ̶ experience at work?”

There are many software components that facilitate contact center operations. Historically, the industry has relied, in part, on niche or best-of-breed applications but this is shifting in favor of broadly integrated suites or ecosystems. When we look at CX trends beyond the contact center, the shift is even more pronounced, with the bundling/collection of applications from martech to CRM-incorporating software that were formerly/previously purchased separately.

Observed both here and elsewhere, average sales quota attainments appear to be in an exorable decline. As I discussed in my recent Analyst Perspective, "The Art and Science of Sales from the 'Inside Out'," vendors of sales technology have reacted to this by adding a slew of new functionality including the potential for artificial intelligence (AI) to be a game changer for sales. One can argue that this use of AI is still relatively immature having been generally available only since 2014, but that is still over five years of market availability.

The joining forces of two sizable companies, in this case totaling over 12,000 employees, can be expected to elevate both business risk and business opportunity. The risk side of the ledger typically impacts employees and customers. Employees become distracted or have their productivity dip until they know exactly how they will be impacted and what is changing, or even leaving voluntarily. Similarly, a segment of existing and potential customers view a merger as a net positive down the road but face fear, uncertainty and doubt about when those benefits will be achieved. Delays can lead both employees and customers to hitch their wagons to other horses as it were.

Machine learning is valuable for organizations, but it can be hard to deploy. Our Machine Learning Dynamic Insights research identifies that not having enough skilled resources and difficulty building and maintaining ML systems are pressing challenges organizations face in applying ML. Traditional ML model development is resource-intensive, requiring significant domain knowledge and time to produce and compare dozens of models. And as the number of ML models grow, their management becomes difficult. By bringing automation to ML, organizations can reduce the time it takes to create production-ready ML models. AutoML can also enable organizations to make data science initiatives more accessible across the organization.

As I have discussed in my Analyst Perspective, The Art of Sales, from the Inside Out, the challenges facing direct sales leaders are not going away. Declining quota attainment, lack of visibility into deal health and difficulty in forecasting quarterly sales remain a challenge for sales leaders, resulting in a continuing reduction in duration of tenure.

Voice of the Customer (VoC) is a catch-all term that refers to the collection of customer feedback in various formats. Sometimes this feedback is in the form of quick surveys or reactions to questions like, "Did I resolve your issue today?" or "Would you recommend our service to a friend?" Alternatively, it can be derived from less specific but more numerous data signals that span multiple interactions or across a customer base. Most businesses make an effort to capture some customer feedback.