Workday Financial Management (which belongs in the broader ERP software category) appears to be gaining traction in the market, having matured sufficiently to be attractive to a large audience of buyers. It was built from the ground up as a cloud application. While that gives it the advantage of a fresh approach to structuring its data and process models for the cloud, the product has had to catch up to its rivals in functionality. The company’s ERP offering has matured considerably over the past three years and now is better positioned to grow its installed base. Workday recently added Aon, the insurance and professional services company, to its customer list (becoming its largest customer to date) and reported that its annual contract value (ACV - the annualized aggregate revenue value of all subscription contracts as of the end of a quarter) has doubled since the second quarter of this year, albeit from a low base. This is an important milestone because for years the company’s growth has come from the human capital management (HCM) portion of the business, not financials. Workday has around 160 customers for its financials (more than 90 of which are live) compared to more than 1,000 customers for HCM.
Topics: Microsoft, SAP, ERP, FP&A, Human Capital, NetSuite, Reporting, close, Controller, dashboard, reconciliations, report, Tax, Operational Performance, Analytics, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, IBM, Oracle, Uncategorized, Accounting, CFO, Data, Amazon, BI, Financial Performance Management, FPM, Intacct, scorecard, Spreadsheets, treasury
The enterprise resource planning (ERP) system is a pillar of nearly every company’s record-keeping and management of business processes. It is essential to the smooth functioning of the accounting and finance functions. In manufacturing and distribution, ERP also can help plan and manage inventory and logistics. Some companies use it to handle human resources functions such as tracking employees, payroll and related costs. Yet despite their ubiquity, ERP systems have evolved little since their introduction a quarter of a century ago. The technologies shaping their design, functions and features had been largely unchanged. As a measure of this stability, our Office of Finance benchmark research found that in 2014 companies on average were keeping their ERP systems one year longer than they had in 2005.
Topics: Big Data, Microsoft, SAP, Social Media, Supply Chain Performance, ERP, FP&A, Human Capital, Mobile Technology, NetSuite, Reporting, close, closing, Controller, dashboard, Reconciliation, report, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud, Cloud Computing, Collaboration, Financial Performance, IBM, Oracle, Uncategorized, Accounting, CFO, Data, finance, BI, Financial Performance Management, FPM, Intacct, scorecard
Splunk’s annual gathering, this year called .conf 2015, in late September hosted almost 4,000 Splunk customers, partners and employees. It is one of the fastest-growing user conferences in the technology industry. The area dedicated to Splunk partners has grown from a handful of booths a few years ago to a vast showroom floor many times larger. While the conference’s main announcement was the release of Splunk Enterprise 6.3, its flagship platform, the progress the company is making in the related areas of machine learning and the Internet of Things (IoT) most caught my attention.
Topics: Big Data, Predictive Analytics, Machine Learning, IT Analytics & Performance, Operational Performance, Plunk, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud, Information Management, Internet of Things, Operational Intelligence, Data, Information Optimization, industrial internet, private cloud
Whatever Oracle’s cloud strategy had been the past, this year’s OpenWorld conference and trade show made it clear that the company is now all in. In his keynote address, co-CEO Mark Hurd presented predictions for the world of information technology in 2025, when the cloud will be central to companies’ IT environments. While his forecast that two (unnamed) companies will account for 80 percent of the cloud software market 10 years from now is highly improbable, it’s likely that there will be relentless consolidation, marginalization and extinction within the IT industry sector driven by cloud disruptions and the maturing of the software business. In practice, though, we expect the transition to the cloud to be slow and uneven.
Topics: Microsoft, Predictive Analytics, Sales Performance, SAP, Supply Chain Performance, ERP, Human Capital, Mobile Technology, NetSuite, Reporting, close, closing, Controller, dashboard, reconciliations, report, Tax, Customer Performance, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Cloud, Cloud Computing, Collaboration, IBM, Oracle, Accounting, Business Performance Management (BPM), CFO, Data, finance, Financial Performance Management (FPM), Amazon, BI, Financial Performance Management, FPM, Intacct, scorecard, spreadsheet, treasury
The concept and implementation of what is called big data are no longer new, and many organizations, especially larger ones, view it as a way to manage and understand the flood of data they receive. Our benchmark research on big data analytics shows that business intelligence (BI) is the most common type of system to which organizations deliver big data. However, BI systems aren’t a good fit for analyzing big data. They were built to provide interactive analysis of structured data sources using Structured Query Language (SQL). Big data includes large volumes of data that does not fit into rows and columns, such as sensor data, text data and Web log data. Such data must be transformed and modeled before it can fit into paradigms such as SQL.
Topics: Big Data, Predictive Analytics, Software as a Service, IT Analytics & Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud, Information Management, Operational Intelligence, Data, Information Optimization, hybrid cloud, infrastructure as a service, private cloud, public cloud