Technology innovation is accelerating faster than companies can keep up with. Many feel pressure to adopt new strategies that technology makes possible and find the resources required for necessary investments. In 2015 our research and analysis revealed many organizations upgrading key business applications to operate in the cloud and some enabling access to information for employees through mobile devices. Despite these steps, we find significant levels of digital disruption impacting every...
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Topics:
Big Data,
Predictive Analytics,
Sales Performance,
Supply Chain Performance,
Governance,
Mobile Technology,
Operational Performance Management (OPM),
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Cloud Computing,
Financial Performance,
Governance, Risk & Compliance (GRC),
Information Applications,
Information Management,
Location Intelligence,
Operational Intelligence,
Uncategorized,
Workforce Performance,
Business Performance Management (BPM),
Financial Performance Management (FPM),
Information Optimization,
Sales Performance Management (SPM)
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
Data is an essential ingredient for every aspect of business, and those that use it well are likely to gain advantages over competitors that do not. Our benchmark research on information optimization reveals a variety of drivers for deploying information, most commonly analytics, information access, decision-making, process improvements and customer experience and satisfaction. To accomplish any of these purposes requires that data be prepared through a sequence of steps: accessing, searching,...
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Topics:
Big Data,
Sales Performance,
Supply Chain Performance,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Mobility,
Business Performance,
Cloud Computing,
Data Preparation,
Financial Performance,
Information Applications,
Information Management,
Location Intelligence,
Operational Intelligence,
Workforce Performance,
Information Optimization
This year presents much opportunity for organizations to use a new generation of technology to compete better, be more efficient in their business operations and engage their workforces to their full potential. We have identified and begun to track the following next-generation technologies: analytics, big data, collaboration, cloud computing, mobile technology and social media, and in 2014 we added wearable computing to the list. In 2015 we will intensify our focus on all of them specifically ...
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Topics:
Big Data,
Sales Performance,
Social Media,
Supply Chain Performance,
Governance,
Mobile Technology,
Wearable Computing,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Financial Performance,
Information Applications,
Information Management,
Location Intelligence,
Operational Intelligence,
Workforce Performance,
Risk & Compliance (GRC),
Technology Innovation
It’s widely agreed that cloud computing is a major technology innovation. Many companies use cloud-based systems for specific business functions such as customer service, sales, marketing, finance and human resources. More generally, however, analytics and business intelligence (BI) have not migrated to the cloud as quickly. But now cloud-based data and analytics products are becoming more common. This trend is most popular among technology companies, small and midsize businesses, and...
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Topics:
Big Data,
SaaS,
Sales Performance,
Social Media,
Governance,
Statistics,
cloud analytics,
IT Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Data Integration,
Financial Performance,
Internet of Things,
Location Intelligence,
Operational Intelligence,
Workforce Performance,
Risk & Compliance (GRC),
cloud business intelligence
Our benchmark research consistently shows that business analytics is the most significant technology trend in business today and acquiring effective predictive analytics is organizations’ top priority for analytics. It enables them to look forward rather than backward and, participate organizations reported, leads to competitive advantage and operational efficiencies.
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Topics:
Big Data,
Predictive Analytics,
Sales Performance,
Statistics,
IT Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Data Integration,
Financial Performance,
Governance, Risk & Compliance (GRC),
Information Applications,
Information Management,
Location Intelligence,
Operational Intelligence,
Workforce Performance
Alteryx has released version 9.0 of Alteryx Analytics that provides a range of data to predictive analytics in advance of its annual user conference called Inspire 2014. I have covered the company for several years as it has emerged as a key player in providing a range of business analytics from predictive to big data analytics. The importance of this category of analytics is revealed by our latest benchmark research on big data analytics, which finds that predictive analytics is the most...
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Topics:
Big Data,
Sales Performance,
Social Media,
Supply Chain Performance,
alteryx,
data blending,
IT Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Customer & Contact Center,
Financial Performance,
Information Management,
Location Intelligence,
Operational Intelligence
I recently attended the 2014 global analyst summit in San Francisco hosted by Pitney Bowes, an old technology company (now in business for 94 years) that has a new focus in its software along with an entirely new executive team. These leaders unveiled a business and technology strategy meant to demonstrate the company’s commitment to software. For many years it has been known mostly for mail services and postage metering, but Pitney Bowes also has made investments in software that can help...
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Topics:
Big Data,
Sales Performance,
Social Media,
Pitney Bowes,
IT Performance,
Operational Performance,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Information Applications,
Information Management,
Location Intelligence
Our latest benchmark research into the market for location analytics software finds significant demand for location-related technology that can improve business outcomes and generate relevant information for various types of users. (Location analytics is an extension of business analytics that can enhance the sophistication of data and processes by adding a geographic context.) My last analyst perspective on this topic discussed the business value of insights based on geography and what...
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Topics:
Big Data,
Sales Performance,
Social Media,
Supply Chain Performance,
GIS,
Location Analytics,
IT Performance,
Operational Performance,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Financial Performance,
Information Applications,
Information Management,
Location Intelligence,
Operational Intelligence,
Data
Our recently released research into next-generation customer analytics shows that the most participants (52%) use spreadsheets as a customer analytics tool. I recently wrote that while these popular tools are adequate for some tasks, they are not suitable for analyzing large volumes and many types of customer data. So I think it is appropriate that one in four (26%) participants have adopted a dedicated customer analytics tool and a further 29 percent are planning to invest in such a tool in...
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Topics:
Social Media,
Customer Analytics,
Speech Analytics,
Voice of the Customer,
IT Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Financial Performance,
Information Applications,
Information Management,
Location Intelligence,
Operational Intelligence,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics