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We at Ventana Research recently published our research agendas for 2018. Analytics and business intelligence are evolving and so is our research on their use across practice areas. Earlier research has shown that analytics can deliver significant value to organizations; for example, our predictive analytics research shows that 57 percent of organizations reported achieving a competitive advantage...

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Topics: Machine Learning, Analytics, Business Intelligence, Collaboration, Internet of Things, IOT, Artificial intelligence, natural language processing, Natural Language Generation


Ventana Research uses the term “predictive finance” to describe a forward-looking, action-oriented finance organization that places emphasis on advising its company rather than fulfilling the traditional roles of a transactions processor and reporter. Technology is driving the shift away from the traditional bean-counting role. The cumulative evolution of software advances will substantially...

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Topics: Planning, Predictive Analytics, Forecast, FP&A, Machine Learning, Reporting, budget, Budgeting, Continuous Planning, Analytics, Data Management, Cognitive Computing, Integrated Business Planning, AI


Ventana Research recently published the findings of our benchmark research on Data Preparation, which examines the practices organizations use to accomplish data preparation. We view data preparation as a sequence of steps: identifying, locating and then accessing the data; aggregating data from different sources; and enriching, transforming and cleaning it to create a single uniform data set....

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Topics: Big Data, Analytics, Data Preparation


I recently attended SAP TechEd in Las Vegas to hear the latest from the company regarding its analytics and business intelligence offerings as well as its data management platform. The company used the event to launch SAP Data Hub and made several other data and analytics announcements that I’ll cover below.

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Topics: Big Data, SAP, Machine Learning, Analytics, Data Preparation, SAP TechEd


Prophix is an established provider of financial performance management (FPM) software for planning and budgeting, forecasting, analysis and reporting, and managing the financial close and consolidation process. Its eponymous software is designed specifically for midsize companies or midsize divisions of larger corporations. These organizations are a distinctive segment of the market in that they...

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Topics: Planning, Office of Finance, Reporting, Budgeting, Consolidation, Continuous Planning, Analytics, Business Intelligence, Collaboration, Financial Performance Management, Integrated Business Planning, accounting close, Price and Revenue Management, Work and Resource Management, Sales Planning and Analytics


I’m thrilled to announce to my HCM vendor and practitioner network as well as the ever-expanding Ventana Research community that I’m now directing Ventana’s HCM practice. I will be working closely with our CEO and Chief Research Officer Mark Smith, who is a fellow HCM enthusiast and thought leader.

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Topics: Big Data, Data Science, Mobile, Human Capital Management, Machine Learning, Learning Management, Analytics, Cloud Computing, Collaboration, Internet of Things, HRMS, Workforce Management, Payroll Optimization, Customer Digital Technology


From my perspective, supply chain management (SCM) and sales and operations planning (S&OP) are two of the most underappreciated disciplines of modern corporate management. Properly applied, they can improve performance and competitiveness by increasing customer satisfaction and reducing costs. A combination of more capable information technology with advances in operations research and analytics...

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Topics: ERP, Kinaxis, Supply Chain Planning, Analytics, SCM, S&OP, Sales and Operations Planning, warehouse management, purchasing, inventory management


The Strata Data Conference is changing and it’s changing in a good way. At the recentStrata Data Conference in New York, Mike Olson, chief strategy officer atCloudera, which co-sponsored the event, commented that at prior events we used to talk about the “Hadoop zoo animals,” meaning the various components of the Hadoop ecosystem of which I havewritten previously. Following last fall’s Strata...

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Topics: Big Data, Machine Learning, Analytics, Hadoop, Artificial intelligence


There’s been some speculation in the market that Hadoop may be disappearing. Some of this speculation has been driven by vendors that have recently downplayed Hadoop in their marketing efforts. For example, the Strata+Hadoop World conference is now known as the Strata Data Conference. The Hadoop Summit is now known as the Dataworks Summit. In Cloudera’s S-1 filing with the SEC for its initial...

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Topics: Big Data, Analytics, Hadoop


The application of artificial intelligence (AI) and machine learning (ML) to business computing will have a profound impact on white collar professions. This is especially true in heavily rules-based functions such as accounting. Companies recognize the transformational potential of AI and ML, but the progression and pace of the adoption of these technologies is unclear. Some applications of AI...

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Topics: Big Data, Machine Learning, Office of Finance, Analytics, CFO, finance, CEO, AI, accountants, NLP, Accounting


In 2016 Unit4 acquired Prevero, a financial performance management software company. The acquisition reflects a trend toward the convergence of transactional and analytical business applications. ERP and financial management software vendors increasingly are adding analytic capabilities – especially in financial performance management (FPM) – to the core functions of transaction processing and...

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Topics: Marketing, Office of Finance, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Workforce Management, Financial Performance Management, FPM, Work and Resource Management, Operations & Supply Chain, Sales Planning and Analytics


Recently Hortonworks announced some significant additions to its products at the DataWorks Summit. These additions reflect the fact that the big data market continues to evolve, as I have previously written.

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Topics: Big Data, Machine Learning, Analytics


Centage recently released Budget Maestro Version 9, a complete revamping of its longstanding budgeting application designed for midsize companies. The software, now offered as a multitenant cloud-based offering, delivers several structural improvements that can enhance the effectiveness of a company’s planning processes and at the same time is easier to use. Budget Maestro Version 9 is designed...

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Topics: Planning, Reporting, Budgeting, Consolidation, Analytics, Business Planning, headcount planning


Natural language generation (NLG), the process of generating text or narratives based on a set of data values, can reach a broader audience. NLG narratives can be used for a variety of purposes, but in this perspective I focus on how NLG can be used to enhance business intelligence (BI) processes. In the case of BI, NLG can be used to explain what has happened and why it is happening, and even...

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Topics: Machine Learning, Natural Language, Analytics, Business Intelligence


Many organizations continue to struggle with preparing data for use in operational and analytical processes. We see these issues reported in our Data and Analytics in the Cloud benchmark research, where 55 percent of organizations identify data preparation as the most time-consuming task in their analytical processes.  Similarly, in our Next-Generation Predictive Analytics research, 62 percent of...

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Topics: Analytics, Collaboration, Data Preparation, Datawatch


Longview recently completed the acquisition of Tidemark Systems, a planning software vendor. Longview Plan powered by Tidemark is a suite of cloud-based applications that enable corporations to plan, assess performance and communicate results more effectively. The software facilitates what Ventana Research calls “continuous planning.” This is a highly collaborative, action-oriented approach to...

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Topics: Mobile, Office of Finance, Recurring Revenue, Continuous Planning, Analytics, Business Intelligence, Financial Performance Management, Price and Revenue Management, ERP and Continuous Accounting, Sales Planning and Analytics


This is my second analyst perspective based on our IoT Benchmark Research. In the first, I discussed the business focus of IoT applications and some of the challenges organizations are facing. Now I’ll share some of the findings about technologies used in IoT applications and the impact those technologies appear to have on the success of users’ projects.

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Topics: Big Data, Analytics, Business Intelligence, IOT, NoSQL


If we look at the focus of technology vendors for analytics and business intelligence or business applications providers deploying these capabilities in the last five years, we see that they have elevated the importance on the value of visualization and dashboards. These promotions might be understandable, but will they make business and the people using them more intelligent?

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Topics: Big Data, Data Science, Mobile, Machine Learning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing


More than a year ago I wrote from personal experience about the challenges our firm encountered with Salesforce’s cloud computing systems and customer service and if we can trust them for business in the cloud. That perspective covered a range of issues that the behemoth cloud computing applications and platform company is facing regarding its service and technology. While Salesforce has shifted...

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Topics: Big Data, Sales, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, Sales Planning and Analytics


This year various types of organizations are embracing machine learning like it is going out of style – or maybe it would be better to say coming into style. And now with a little investigation on LinkedIn finds over half million professionals with machine learning in their job title. Machine learning is the application of specific data science algorithms that become more accurate as the system...

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Topics: Big Data, Data Science, Analytics, Business Intelligence, Cloud Computing, Machine Learning and Cognitive Computing, Machine Learning Digital Technology


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