Workiva offers Wdesk, a cloud-based productivity application for handling composite documents. I use the term “composite document” to refer to those in which text is created and edited collaboratively by multiple contributors and which incorporates tabular and numerical data from multiple sources in a controlled process. Composite documents often have formats defined by law, regulation or contract and must be created at periodic intervals. To comply with the requirement by the United States Securities and Exchange Commission (SEC) that companies “tag” their financial filings using eXtensible Business Reporting Language (XBRL), many companies acquired software to automate the creation and tagging of these composite documents.
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: Sales Performance, Supply Chain Performance, Customer Performance, Operational Performance, POTUS, Department of Labor, FLSA, Part 541, Overti, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), Uncategorized
It has been more than five years since James Dixon of Pentaho coined the term “data lake.” His original post suggests, “If you think of a data mart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state.” The analogy is a simple one, but in my experience talking with many end users there is still mystery surrounding the concept. In this post I’d like to clarify what a data lake is, review the reasons an organization might consider using one and the challenges they present, and outline some developments in software tools that support data lakes.
Organizations are facing a digital transformation, as I have written, that is rapidly changing the applications and services that businesses use to operate and deliver information. This new digital generation addresses the expectations of consumers and business partners for information and service in real time. One example of it is enterprise messaging. Recently I wrote about the shift to this technology and the challenges it poses for organizations that lack sufficient skills. However, new messaging appliances and virtualized messaging can carry some of this burden. By interconnecting them, organizations can be more confident in their ability to support the range of information and applications that operate in real time, not only for people but on devices and machines.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Enterprise messaging, Internet of Things, IoT, mid, Customer Performance, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Uncategorized
Enterprise messaging is the technology backbone of communications for applications and systems within and between organizations. Both its importance and its complexity are growing as organizations increasingly have to provide real-time responses to business customers and consumers as well as their own business professionals who support them and their internal supply chains. The variety of use cases for enterprise messaging also is growing rapidly, expanding to the Internet of Things (IoT) market of sensors and devices including wearable technology; to new generations of applications and services for consumers and customers; to cloud computing and the shift to platform or infrastructure as a service (PaaS or IaaS); and to real-time big data and analytics. All of these innovations will enable these types of transformation to digital business that is impacting organizations around the world.
Topics: Big Data, Social Media, Supply Chain Performance, Enterprise messaging, Internet of Things, IoT, mid, Mobile Technology, Customer Performance, Operational Performance, Business Performance, Cloud Computing, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, Uncategorized, Information Optimization