As I discussed in the state of data and analytics in the cloud recently, usability is a top evaluation criterion for organizations in selecting cloud-based analytics software. Data access of cloud and on-premises systems are essential antecedents of usability. They can help business people perform analytic tasks themselves without having to rely on IT. Some tools allow data integration by business users on an ad hoc basis, but to provide an enterprise integration process and a governed...
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Topics:
Big Data,
Sales Performance,
Software as a Service,
Mobile Technology,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Mobility,
Cloud Computing,
Information Management,
Operational Intelligence,
Data
Through a continuing program of acquisitions and internal development, NICE Systems has transitioned from being a vendor of workforce optimization systems to one focused on aspects of the customer experience, notably voice of the customer (VOC), customer engagement analytics and customer journey mapping. It is also moving to cloud-based services from products installed on customers’ premises and is taking a business-solution approach (providing previously integrated and configured products that...
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Topics:
Big Data,
Customer Feedback Management,
Customer Performance,
Business Analytics,
Business Collaboration,
Cloud Computing,
Call Center
From its history of managing postal mail, Pitney Bowes has expanded into products for data management, analytics and location intelligence, as my colleague Mark Smith noted. Continuing this expansion through internal development and acquisitions of vendors such as Portrait Software and RTC, it has added to its portfolio products that include customer information management and customer engagement.
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Topics:
Big Data,
Customer Performance,
Business Analytics,
Business Collaboration,
Cloud Computing,
Call Center
Our recently completed benchmark research on data and analytics in the cloud shows that analytics deployed in cloud-based systems is gaining widespread adoption. Almost half (48%) of participating organizations are using cloud-based analytics, another 19 percent said they plan to begin using it within 12 months, and 31 percent said they will begin to use cloud-based analytics but do not know when. Participants in various areas of the organization said they use cloud-based analytics, but...
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Topics:
Big Data,
Software as a Service,
Operational Performance Management (OPM),
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Customer & Contact Center,
Operational Intelligence,
Business Performance Management (BPM),
Data,
Information Optimization
Tagetik is a long-established vendor of financial performance management (FPM) software. Its full-featured suite includes planning, budgeting, consolidation, close management, disclosure management, analysis, dashboards and reporting. The software can be deployed on premises or in the cloud as multitenant software as a service or in a private cloud. Tagetik also offers pre-built integration with SAP and SAP HANA, Microsoft SharePoint and Qlik to best support a range of financial management...
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Topics:
Big Data,
Governance,
Human Capital,
Office of Finance,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Dashboards,
Financial Performance
Recently my colleague Tony Cosentino wrote an analyst perspective asserting that big data analytics will displace net promoter score (NPS) for more effectively measuring the entire customer experience. This prompted a response from Maxie Schmidt-Subramanian, asserting that big data and NPS aren’t the only ways to measure customer experience success. The main point of Tony’s piece, as I interpret it, is that NPS is just a number, but big data analytics can reveal much more about customer...
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Topics:
Big Data,
Customer Performance,
Operational Performance,
Business Analytics,
Business Collaboration,
Business Performance,
Cloud Computing,
Call Center
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
Our benchmark research into next-generation customer engagement finds that the top priorities in customer service for companies are to improve the customer experience (said 74%) and their customer service performance (70%). To do this, the technological steps most companies expect to improve customer engagement are to deploy collaboration systems, redesign the customer portal, deploy internal mobile applications, deploy mobile customer service apps and use social media for customer service. All...
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Topics:
Big Data,
Customer Performance,
Business Analytics,
Business Collaboration,
Cloud Computing,
Call Center
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
Contact centers in the cloud are increasingly popular alternatives to managing them on a company’s own premises. Running many business applications on hardware owned and managed by a third party is relatively straightforward and requires less support internally. Also the payment model changes from a license to a recurring fee, and typically the vendor provides updates as part of the fee. The challenge with placing a contact center in the cloud is that it is not a single system or even a...
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Topics:
Big Data,
Customer Feedback Management,
Customer Performance,
Business Collaboration,
Cloud Computing,
Call Center