Our research into next-generation predictive analytics shows that along with not having enough skilled resources, which I discussed in my previous analysis, the inability to readily access and integrate data is a primary reason for dissatisfaction with predictive analytics (in 62% of participating organizations). Furthermore, this area consumes the most time in the predictive analytics process: The research finds that preparing data for analysis (40%) and accessing data (22%) are the parts of...
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Topics:
Big Data,
Microsoft,
Predictive Analytics,
alteryx,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Operational Intelligence,
Oracle,
Information Optimization
The Performance Index analysis we performed as part of our next-generation predictive analytics benchmark research shows that only one in four organizations, those functioning at the highest Innovative level of performance, can use predictive analytics to compete effectively against others that use this technology less well. We analyze performance in detail in four dimensions (People, Process, Information and Technology), and for predictive analytics we find that organizations perform best in...
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Topics:
Big Data,
Microsoft,
Predictive Analytics,
alteryx,
Operational Performance Management (OPM),
Customer Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Location Intelligence,
Oracle,
Information Optimization
To impact business success, Ventana Research recommends viewing predictive analytics as a business investment rather than an IT investment. Our recent benchmark research into next-generation predictive analytics reveals that since our previous research on the topic in 2012, funding has shifted from general business budgets (previously 44%) to line of business IT budgets (previously 19%). Now more than half of organizations fund such projects from business budgets: 29 percent from general...
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Topics:
Big Data,
Microsoft,
Predictive Analytics,
alteryx,
Customer Performance,
Analytics,
Business Analytics,
Business Intelligence,
Operational Intelligence,
Oracle,
Business Performance Management (BPM),
Rapidminer
Our benchmark research on next-generation business planning finds that a large majority of companies rely on spreadsheets to manage planning processes. For example, four out of five use them for supply chain planning, and about two-thirds for budgeting and sales forecasting. Spreadsheets are the default choice for modeling and planning because they are flexible. They adapt to the needs of different parts of any type of business. Unfortunately, they have inherent defects that make them...
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Topics:
Planning,
Predictive Analytics,
Marketing Planning,
Reporting,
Sales Forecasting,
Budgeting,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Performance,
Financial Performance,
Business Planning,
Demand Planning,
Integrated Business Planning
Unit4 is a global business software vendor focused on business and professional services, the public sector and higher education. Recently company executives met with industry analysts to provide an update of its strategic roadmap and to recap its accomplishments since being acquired by a private equity firm in 2014. Unit4 is the result of successive mergers of ERP and business software companies, notably CODA and Agresso. The company is also a part-owner (with salesforce.com and others) of...
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Topics:
Predictive Analytics,
Human Capital,
Office of Finance,
Operational Performance,
Business Analytics,
Business Collaboration,
Business Performance,
Cloud Computing,
Financial Performance
IBM’s Vision user conference brings together customers who use its software for financial and sales performance management (FPM and SPM, respectively) as well as governance, risk management and compliance (GRC). Analytics is a technology that can enhance each of these activities. The recent conference and many of its sessions highlighted IBM’s growing emphasis on making more sophisticated analytics easier to use by – and therefore more useful to – general business users and their organizations....
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Topics:
Big Data,
Planning,
Predictive Analytics,
Governance,
Human Capital,
Budgeting,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Performance,
Cloud Computing,
Financial Performance,
Visualization
Adaptive Insights held its annual user group meeting recently. A theme sounded in several keynote sessions was the importance of finance departments playing a more strategic role in their companies. Some participating customers described how they have evolved their planning process from being designed mainly to meet the needs of the finance department into a useful tool for managing the entire business. Their path took them from doing basic financial budgeting to planning focused on improving...
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Topics:
Planning,
Predictive Analytics,
Human Capital,
Marketing,
Reporting,
Sales Forecasting,
Budgeting,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Performance,
Financial Performance,
Business Planning,
Supply Chain,
Demand Planning,
Integrated Business Planning,
Project Planning
Ventana Research recently completed the most comprehensive evaluation of analytics and business intelligence products and vendors available anywhere. As I discussed recently, such research is necessary and timely as analytics and business intelligence is now a fast-changing market. Our Value Index for Analytics and Business Intelligence in 2015 scrutinizes 15 top vendors and their product offerings in seven key categories: Usability, Manageability, Reliability, Capability, Adaptability, Vendor...
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Topics:
Big Data,
Data Quality,
Predictive Analytics,
Gartner,
Governance,
Customer Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Information Applications,
Information Management,
Operational Intelligence,
Value Index,
Strata+Hadoop
Just a few years ago, the prevailing view in the software industry was that the category of business intelligence (BI) was mature and without room for innovation. Vendors competed in terms of feature parity and incremental advancements of their platforms. But since then business intelligence has grown to include analytics, data discovery tools and big data capabilities to process huge volumes and new types of data much faster. As is often the case with change, though, this one has created...
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Topics:
Big Data,
Data Quality,
Predictive Analytics,
Gartner,
Customer Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Information Applications,
Information Management,
Value Index,
Strata+Hadoop