The use of blockchain distributed ledgers in business processes is now a common theme in many business software vendors’ presentations. The technology has a multitude of potential uses. However, presentations about the opportunities for digital transformation always leave me wondering: How is this magic going to happen? I wonder this because the details about how data flows from point A to point B via a blockchain are critically important to blockchain utility and therefore the pace of its...
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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,
forecasting,
consolidating
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 and half created new revenue opportunities with predictive analytics. Waves of investment in...
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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 reduce finance and accounting workloads by automating most of the mechanical, rote functions in...
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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. Using data to accomplish organizational goals requires that it be prepared for use; to do this job...
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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 have almost all the functional requirements of large enterprises but have fewer resources to apply...
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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 has made managing supply and demand chains potentially more impactful by making them more flexible...
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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 event,I observed that the conference was evolving to focus on the use of data. Advancing that...
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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 public offering, the term “Hadoop” appears only 14 times, while the term “machine learning” appears 83...
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Topics:
Big Data,
Analytics,
Hadoop