It’s widely agreed that customer experience is now the most important dynamic for business. Any organization that wants to retain loyal and even vocal customers should do everything possible to ensure and maintain customer satisfaction. Software companies, especially those that promise to provide CRM and effective interactions across any channel at any time, should be good examples of embracing the methods they prescribe for using their products. But do they?
Topics: Social Media, Customer Experience, HCM, Human Capital, Human Capital Management, Marketing, NA14, NetSuite, Operational Performance Management (OPM), Zach Nelson, Cloud Computing, Governance, Risk & Compliance (GRC), Customer Performance Management (CPM), Financial Performance Management (FPM), HR, HRMS, Sales Performance Management (SPM), TribeHR, Workforce Performance Management (WPM)
Through a federal rule referred to as “Overtime Rule” and part of Title 29 regulations was issued on May 18th, 2016 by the Department of Labor (DOL), the Obama administration now mandates that unless they meet criteria for exemption, employees paid less than $47,476 ($22.825 per hour) are entitled to overtime pay when they work more than 40 hours per week. The rule change, which goes into effective on December 1, 2016, is intended to apply to executive, administrative and professional employees; it has exemptions for teachers, lawyers and other specific jobs and industries.
Topics: Governance, Human Capital, Human Capital Management, Operational Performance Management (OPM), Overtime Rule, Part 541, POTUS, Wage and Labor, Business Analytics, Cloud Computing, Governance, Risk & Compliance (GRC), Uncategorized, Contingent Labor, Customer Performance Management (CPM), Department of Labor, Final Rule, Financial Performance Management (FPM), FLSA, President Obama, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Management, Workforce Performance Management (WPM), Workforce Planning
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, aggregating, enriching, transforming and cleaning data from different sources to create a single uniform data set. To prepare data properly, businesses need flexible tools that enable them to enrich the context of data drawn from multiple sources, collaborate on its preparation to serve business needs and govern the process of preparation to ensure security and consistency. Users of these tools range from analysts to operations professionals in the lines of business.
Topics: Big Data, Predictive Analytics, Operational Performance Management (OPM), Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Data Preparation, Location Intelligence, Operational Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Information Optimization, IT Performance Management (ITPM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)
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 in our research agenda and as part of our line of business research agendas.
Topics: Big Data, Social Media, Governance, Mobile Technology, Operational Performance Management (OPM), Wearable Computing, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, Location Intelligence, Operational Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Risk & Compliance (GRC), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Technology Innovation, Workforce Performance Management (WPM)
It is more important than ever for businesses to attract and retain the best talent, and managing compensation effectively is an essential tool for doing so. Obviously companies must pay well to compete, but managing salary, merit pay, variable pay and incentives for employees, tracking their hiring anniversaries and conducting accurate performance appraisals make total compensation management a complex process. All of this must be managed within budget and policy guidelines. As organizations grow and require more employees, the challenges multiply and the difficulty increases. Our benchmark research finds that inconsistent execution is the top impediment to effective compensation management for nearly half (47%) of organizations. Software designed for this purpose can help.
Topics: HCM, Human Capital Management, Operational Performance Management (OPM), Sales Compensation, Business Performance Management (BPM), CFO, Compensation, Customer Performance Management (CPM), finance, Financial Performance Management (FPM), HR, Sales Performance Management (SPM), Talent Management, TCM, Workforce Performance Management (WPM)
Organizations today create and collect data at ever faster rates, and this introduces challenges in ensuring that data is not just managed but used in a consistent manner for a range of operational and analytic tasks. This is made more difficult by new data sources whose definitions vary from standard and widely used formats. Making all information available and consistent is essential to support business processes and decision-making. A key technology tool for this effort is master data management (MDM). Every business area needs MDM, whether it deals with customers, products, employees, finance or others individually or collectively in what is called multidomain MDM. It is an essential tool for data governance across an organization, which has become a focal point for improvement as many organizations spend significant time in data-related tasks. Our benchmark research on information optimization shows that preparing data for analysis (47%) and reviewing data for quality and consistency issues (45%) are the two information tasks that consume the most time. Properly used MDM enables data stewards and other IT professionals to improve the consistency and quality of departmental and enterprise data.
Topics: Big Data, Data Quality, Master Data Management, Social Media, Golden Records., MDM, Operational Performance Management (OPM), Business Analytics, Cloud Computing, Data Management, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)
Teradata continues to expand its information management and analytics technology for big data to meet growing demand. My analysis last year discussed Teradata’s approach to big data in the context of its distributed computing and data architecture. I recently got an update on the company’s strategy and products at the annual Teradata analyst summit. Our big data analytics research finds that a broad approach to big data is wise: Three-quarters of organizations want analytics to access data from all sources and not just one specific to big data. This inclusive approach is what Teradata as designed its architectural and technological approach in managing the access, storage and use of data and analytics.
Topics: Big Data, Teradata, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, Cloud Computing, Information Management, NoSQL, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), JSON, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), UDA, Workforce Performance Management (WPM)
At the Informatica World 2014 conference, the company known for its data integration software unveiled the Intelligent Data Platform. In the last three years Informatica has expanded beyond data integration and now has a broad software portfolio that facilitates information management within the enterprise and through cloud computing. The Intelligent Data Platform forms a framework for its portfolio. This expression of broad potential is important for Informatica, which has been slow to position its products as capable of more than data integration. A large part of the value it provides lies in what its products can do to help organizations strengthen their enterprise architectures for managing applications and data. We see Informatica’s sweet spot in facilitating efficient use of data for business and IT purposes; we call this information optimization.
Topics: Big Data, Master Data Management, Operational Performance Management (OPM), Business Analytics, Business Intelligence, CIO, Cloud Computing, Data Integration, Data Management, Informatica, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Information Optimization, Product Information Management, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM), application
Pressure to comply with requirements of the Affordable Care Act (ACA) is a looming challenge for most organizations today. Many go through numerous manual iterations such as running reports and compiling data into spreadsheets from benefits, payroll and HR systems to calculate whether their employees are eligible. As my colleague Stephan Millard explains in “Is Your Organization Technology Ready for the Affordable Care Act?”, the ACA applies to organizations with 50 or more full-time employees who work more than 30 hours a week; individuals not covered by an employer can get insurance through the government. There are a great many details for employers to address in the ACA, and most HR departments lack a smooth process and effective technology to generate the information to determine compliance.
Topics: Big Data, Equifax, Human Capital Analytics, Office of Finance, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, Cloud Computing, Business Performance Management (BPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Workforce Performance Management (WPM)
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, Social Media, Software as a Service, Middleware, Operational Performance Management (OPM), Oracle Cloud, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, IBM, Oracle, Business Performance Management (BPM), Customer Performance Management (CPM), Database as a Service, Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Verizon, Workforce Performance Management (WPM)
