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 its customers like us and others to a different cloud computing environment, as it did in moving us...
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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 records more outcomes and processes more data. This improvement is referred to as “learning,” hence...
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Topics:
Big Data,
Data Science,
Analytics,
Business Intelligence,
Cloud Computing,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
Ventana Research defines financial performance management (FPM) as the process of addressing the often overlapping people, process, information and technology issues that affect how well finance departments operate and support the activities of the rest of their organization. FPM deals with the full cycle of finance department activities, which include planning and budgeting, analysis, assessment and review, closing and consolidation, internal financial reporting and external financial...
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Topics:
Mobile,
Human Capital Management,
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
Informatica reintroduced itself to the world at its recent customer conference, Informatica World, in San Francisco. The company took advantage of the event to showcase its new branding in an effort to change the way customers think about the company. Informatica has been providing information services in the cloud for more than a decade. Even though cloud revenue comprises a minority of Informatica’s business, in absolute terms, the revenue is significant, and company executives want the...
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Topics:
Big Data,
Data Science,
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Data Integration,
Data Preparation,
Information Optimization,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
I recently attended the MicroStrategy World conference, which was held in Washington, D.C. and it celebrate its 20th anniversary, which is why MicroStrategy hosted the event near its headquarters. Over the past 20 years, the market and technology for business intelligence and analytics have significantly changed, and in several changes, MicroStrategy has been at the forefront. Now is a good time to examine the company’s position in the market and its latest offerings in context of the analytics...
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Topics:
Big Data,
Mobile Technology,
Analytics,
Business Intelligence,
Digital Technology
Our firm regularly explores the impacts of new technologies on business. Analytics is foremost among recently emerging technologies, which our benchmark research consistently confirms. In our research on next-generation sales analytics, fourth-fifths (82%) of participating organizations cited analytics as the most important technology trend for sales; however, several other technologies also are adding power and flexibility to the use of sales analytics.
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Topics:
Big Data,
Sales,
Mobile Technology,
Office of Finance,
Analytics,
Cloud Computing,
Collaboration,
Product Information Management,
Sales Performance Management,
Digital Commerce,
Machine Learning and Cognitive Computing,
Sales Enablement and Execution,
Machine Learning Digital Technology,
Sales Planning and Analytics
Vendavo recently held its annual Profit Summit, a combination of a user group conference and a forum for covering evolving trends and techniques in business-to-business (B2B) pricing. Especially in emerging categories like pricing and revenue management, this sort of event provides an opportunity to assess the state of the market and the maturity of the applications. As I’ve noted, adoption of price and revenue management software has been slow in the B2B segment of commerce due to multiple...
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Topics:
Big Data,
Sales,
Office of Finance,
Analytics,
Cloud Computing,
Sales Performance Management,
Price and Revenue Management,
Digital Commerce,
Pricing and Promotion Management,
Sales Enablement and Execution,
Sales Planning and Analytics
The importance of analytics for sales organizations is clear and, as I pointed out in my recent analyst perspective on the next generation of sales analytics, these capabilities optimize revenue potential. However, utilizing sales analytics requires a set of data skills that most organizations still find challenging and are thus not fully prepared to support. The efficient access and preparation of data underlies any analytics processes, which must meet demanding needs that are not always...
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Topics:
Big Data,
Sales,
Machine Learning,
Office of Finance,
Analytics,
Cloud Computing,
Collaboration,
Product Information Management,
Sales Performance Management,
Digital Technology,
Digital Commerce,
Sales and Operations Planning,
Machine Learning and Cognitive Computing,
Sales Enablement and Execution,
Sales Planning and Analytics
I have been following advances in sales analytics since the 1990s. Over the last five years, however, I have seen evolution, not innovation. In most cases the information that analytics provides is too complicated and not contextualized enough for sales people who are not analytics experts to understand, let alone take action on. As I pointed out in my 2017 research agenda on sales, analytics is essential for planning that improves the impacts of sales efforts and meets the goals of the...
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Topics:
Big Data,
Sales,
Mobile Technology,
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