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 the next 24 months.
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
At its recent 2014 analyst day Ceridian showed the progress it has made on its Ceridian and Dayforce human capital management (HCM) platform since last year’s launch of its broader HCM portfolio. Ceridian’s overall HCM business, which the company says had revenue of $950 million in 2013 and now has more than 100,000 customers, consists largely of payroll-related products and services such as tax filing and payroll cards, but also benefits, human resources and workforce management products.
Topics: Mobile, SaaS, Social Media, HCM, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Workforce Performance, Ceridian, Document Management, HR, Talent Management
Reconciling accounts at the end of a period is one of those mundane finance department tasks that are ripe for automation. Reconciliation is the process of comparing account data (at the balance or item level) that exists either in two accounting systems or in an accounting system and somewhere else (such as in a spreadsheet or on paper). The purpose of the reconciling process is to identify things that don’t match (as they must in double-entry bookkeeping systems) and then assess the nature and causes of the variances. This is followed by making adjustments or corrections to ensure that the information in a company’s books is accurate. Most of the time, reconciliation is a matter of good housekeeping. The process identifies errors and omissions in the accounting process, including invalid journal postings and duplicate accounting entries, so they can be corrected. Reconciliation also is an important line of defense against fraud, since inconsistencies may be a sign of such activity.
Topics: Office of Finance, automation, close, closing, Consolidation, Controller, effectiveness, Reconciliation, XBRL, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), CFO, Data, Document Management, Financial Performance Management, FPM
We recently released our benchmark research on big data analytics, and it sheds light on many of the most important discussions occurring in business technology today. The study’s structure was based on the big data analytics framework that I laid out last year as well as the framework that my colleague Mark Smith put forth on the four types of discovery technology available. These frameworks view big data and analytics as part of a major change that includes a movement from designed data to organic data, the bringing together of analytics and data in a single system, and a corresponding move away from the technology-oriented three Vs of big data to the business-oriented three Ws of data. Our big data analytics research confirms these trends but also reveals some important subtleties and new findings with respect to this important emerging market. I want to share three of the most interesting and even surprising results and their implications for the big data analytics market.
Topics: Big Data, Pentaho, Predictive Analytics, Sales Performance, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Datawatch
The last time I reviewed Confirmit it had just acquired CustomerSat and was re-engineering its products to support a broader approach to voice of the customer (VOC), which Ventana Research defines as a complete view of customer interactions, customer sentiments after interactions and the outcomes of those interactions. During my latest briefing, I found out that the new architecture will be available in version 18 of the product, which Confirmit recently announced as generally available. Confirmit also recently announced the acquisition of Integrasco for social and text analytics and says it intends to have those products at least partly integrated into the core product during the second quarter of this year.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics, Unified Communications
I had the pleasure of attending Cloudera’s recent analyst summit. Presenters reviewed the work the company has done since its founding six years ago and outlined its plans to use Hadoop to further empower big data technology to support what I call information optimization. Cloudera’s executive team has the co-founders of Hadoop who worked at Facebook, Oracle and Yahoo when they developed and used Hadoop. Last year they brought in CEO Tom Reilly, who led successful organizations at ArcSight, HP and IBM. Cloudera now has more than 500 employees, 800 partners and 40,000 users trained in its commercial version of Hadoop. The Hadoop technology has brought to the market an integration of computing, memory and disk storage; Cloudera has expanded the capabilities of this open source software for its customers through unique extension and commercialization of open source for enterprise use. The importance of big data is undisputed now: For example, our latest research in big data analytics finds it to be very important in 47 percent of organizations. However, we also find that only 14 percent are very satisfied with their use of big data, so there is plenty of room for improvement. How well Cloudera moves forward this year and next will determine its ability to compete in big data over the next five years.
Topics: Big Data, Teradata, Zoomdata, IT Performance, Business Intelligence, Cloudera, Hortonworks, IBM, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Oracle, Hive, Impala, Strata+Hadoop
Information technologists are fond of predictions in which the next big thing quickly and entirely renders the existing thing so completely obsolete that only troglodytes would cling to such outmoded technology. While this vision of IT progress may satisfy the egos of technologists, it rarely reflects reality. Mainframes didn’t disappear, for example. Although they long ago lost their dominant position, many remain key parts of corporate computing infrastructures. The IT landscape is a hybrid because technology users have varying requirements and constraints that can lengthen replacement cycles. Most business users of IT pay little attention to the religious wars of technologists because they take a pragmatic approach: They use technology to achieve business ends. This scenario is repeating itself in clamor about another corporate mainstay, the ERP system, which advocates claim will soon be redeployed en masse to cloud computing. That, too, won’t happen. I believe that ERP will increasingly become cloud-based, but it will be in hybrid cloud environments.
Topics: Microsoft, SaaS, Sales, Salesforce.com, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, PSA, Sage Software, Unit4, Analytics, Business Performance, Cloud Computing, Financial Performance, CFO, FinancialForce, HR, Infor, Workday, Plex, Professional Services Automation
Building a contact center is growing in complexity as companies struggle to support customers’ ever-higher expectations. Customers now insist on engaging with companies through the channel of their choice, often from a mobile device, and at a time of their choosing. If they interact with a person, they expect that person to have the social and technical skills to resolve their issues quickly and effectively. If they use any form of self-service, they expect the technology to help rather get in the way of speaking with a person. And of course many disgruntled customers don’t hesitate to publish their views on social media.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
At Oracle’s recent cloud computing analyst summit in sunny Palm Springs, the company’s executive team insisted that it sees clear skies for its efforts in cloud computing. The summit was led by senior executive Thomas Kurian, who runs the entire product organization and reports directly to CEO Larry Ellison. He affirmed that Oracle intends to offer the full range of cloud computing – public, private and hybrid models – to its customers and partners. As one of the world’s largest software suppliers Oracle has much at stake to make its database and all tools and applications available in these cloud environments, including managed cloud services. Our business technology innovation research shows this is a smart bet. Cloud computing is important or very important to 57 percent of organizations, and more than half (55%) of cloud users have been using it for more than a year. I noted in 2013 that simplifying IT and innovating in business are key to its software strategy, and Oracle’s efforts since then have executed on this outline.
Topics: Big Data, Database, Microsoft, SaaS, Sales Performance, Social Media, Software as a Service, Supply Chain Performance, Middleware, Oracle Cloud, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Information Applications, Information Management, Oracle, Workforce Performance, Database as a Service, Verizon
Convergence is the Microsoft Dynamics business software user group’s meeting. Dynamics’ core applications are mainly in the accounting and ERP category, descendants of products Microsoft acquired: Great Plains (now GP), Solomon (SL), Navision (NAV) and Damgaard’s Axapta (AX), to which Microsoft has added its own CRM application. It has been more than a decade since the acquisitions of Great Plains (which itself had already purchased Solomon Software), and Navision, Damgaard and the software applications family has evolved steadily if slowly since then. More recently, Microsoft has added cloud services that simplify and improve the connection between remote users and the on-premises core systems, as well as integration with Office365.
Topics: Microsoft, SaaS, Sales, Sales Performance, Salesforce.com, ERP, HCM, Human Capital, Office of Finance, Consulting, distribution, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, PSA, Sage Software, Unit4, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, CFO, FinancialForce, HR, Infor, Workday, Plex, Professional Services Automation
At its recent Connect 2014 event IBM announced IBM Kenexa Talent Suite, an integrated talent management suite. The release strengthens its Smarter Workforce initiative by combining IBM and Kenexa products and services in one human capital management (HCM) offering. IBM Kenexa Talent Suite also addresses increasing efforts by human resources organizations to optimize their activities through more effective use of technology, a topic covered in our 2014 HCM research agenda. Specifically, the release integrates talent management process automation capabilities with collaboration and also can be complemented with its workforce analytics to help organizations be more efficient and productive; our benchmark research shows these are the leading benefits of using human capital analytics systems.
Topics: Big Data, Mobile, SAP, Social Media, HCM, Kenexa, Recruiting, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, IBM, Oracle, Workforce Performance, Cognitive Computing, HR, IBM Watson, Social
Many businesses are close to being overwhelmed by the unceasing growth of data they must process and analyze to find insights that can improve their operations and results. To manage this big data they find a rapidly expanding portfolio of technology products. A significant vendor in this market is SAS Institute. I recently attended the company’s annual analyst summit, Inside Intelligence 2014 (Twitter Hashtag #SASSB). SAS reported more than $3 billion in software revenue for 2013 and is known globally for its analytics software. Recently it has become a more significant presence in data management as well. SAS provides applications for various lines of business and industries in areas as diverse as fraud prevention, security, customer service and marketing. To accomplish this it applies analytics to what is now called big data, but the company has many decades of experience in dealing with large volumes of data. Recently SAS set a goal to be the vendor of choice for the analytic, data and visualization software needs for Hadoop. To achieve this aggressive goal the company will have to make significant further investments in not only its products but also marketing and sales. Our benchmark research on big data analytics shows that three out of four (76%) organizations view big data analytics as analyzing data from all sources, not just one, which sets the bar high for vendors seeking to win their business.
Topics: Big Data, Predictive Analytics, SAS, Event Stream, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Customer & Contact Center, Data Management, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Discovery
I recently completed two closely related benchmark research reports, on next-generation customer engagement and next-generation customer analytics. The research on customer engagement shows that companies on average engage with customers through seven or eight communication channels and that almost every business unit except IT engages with customers. To provide customers with personalized, in-context and consistent experiences across these channels, companies need an up-to-date, complete view of their customers that gives those who interact with them the information they need to decide how to respond. However, the customer analytics research shows that the majority of companies don’t have access to such information and analysis. The most common analytics tool for more than half of companies is spreadsheets in 52 percent of organizations. Although spreadsheets meet individual users’ needs for ad-hoc analysis, they are inadequate for enterprise processes such as customer analytics. Almost three-fifths (57%) of companies in the research said that using spreadsheets makes it difficult to produce accurate and timely customer analysis.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), Information Management, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics
Adding geographic and location context to business information enables organizations to develop fuller understanding and optimize the activities of people that use the information. We call this location intelligence, and to achieve it requires location analytics, which focus on that context where the processing and presentation of geography and spatial aspects of data are utilized. Analysis of geographic information can provide business insights that help organizations make better business decisions. I have written about this new generation of location analytics previously and noted that it can provide fresh analytic perspectives on information collected and integrated from in-house applications and across the Internet.
Topics: Sales Performance, Supply Chain Performance, Customer Analytics, GIS, Location Analytics, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance