Managing marketing performance is anything but simple. It requires establishing a unified approach to assess the outcomes of initiatives and projects and compare results with investments in marketing people and campaigns. In general, while performance management has been conducted effectively at the corporate levels, it has been a challenge for most lines of business, marketing departments included.
Topics: Sales Performance, Social Media, Marketing, Marketing Performance Management, Marketing Planning, Operational Performance Management (OPM), Customer Performance, Business Analytics, Business Intelligence, Business Performance, Uncategorized, CMO, Demand Generation
Technology innovation is accelerating faster than companies can keep up with. Many feel pressure to adopt new strategies that technology makes possible and find the resources required for necessary investments. In 2015 our research and analysis revealed many organizations upgrading key business applications to operate in the cloud and some enabling access to information for employees through mobile devices. Despite these steps, we find significant levels of digital disruption impacting every line of business. In our series of research agendas for 2016 we outline the areas of technology that organizations need to understand if they hope to optimize their business processes and empower their employees to handle tasks and make decisions effectively. Every industry, line of business and IT department will need to be aware of how new technology can provide opportunities to get ahead of, or at least keep up with, their competitors and focus on achieving the most effective outcomes.
Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, Governance, Mobile Technology, Operational Performance Management (OPM), Customer Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Uncategorized, Workforce Performance, Business Performance Management (BPM), Digital Technology, Innovation, Analytics, Big Dat, Financial Performance Management (FPM), Information Optimization, Sales Performance Management (SPM)
Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially those related to human behavior and interaction. The challenges in dealing with big data include having the computational power that can scale to the processing requirements for the volumes involved; analytical tools to work with the large data sets; and governance necessary to manage the large data sets to ensure that the results of the analysis are accurate and meaningful. But that’s not all organizations have to deal with now. I’ve coined the term “cryptic data” to focus on a different, less well known sort of data challenge that many companies and individuals face.
Topics: Big Data, data science, Planning, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, forecasting, FP&A, Human Capital, Marketing, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Kofax, Statistics, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Business Performance Management (BPM), Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM), import.io
A new company has emerged in the market for real-time analytics software. Anodot came out of stealth mode in late 2015 with $3 million in funding. It is led by three founders: CEO David Drai, whose company Cotendo was acquired by networking company Akamai Technologies in 2012; Ira Cohen, chief data scientist, who previously held that position at Hewlett-Packard; and Shay Lang, who serves as VP of R&D. Unlike most vendors in the space, the company is delivering anomaly detection and operational intelligence through software as a service (SaaS).
Topics: Big Data, Predictive Analytics, Operational Performance Management (OPM), Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Internet of Things, Operational Intelligence, Uncategorized, Anodot, Anomaly Detection, real time analytics
Over the last four years Domo, a new brand in cloud-based data and analytics software, has worked to enable its customers to understand, collaborate and act on data to achieve business results. Led by its founder and CEO, Josh James, the company has worked to deliver software that provides both a good user experience and business value. Recently, at its 2015 customer conference Domopalooza, the company presented itself and its products to the general public. I had a chance to meet with company executives, employees and customers and view its products at this high-energy event and entertainment that I have not seen in years.
Topics: Sales Performance, Supply Chain Performance, Human Capital, Mobile Technology, Operational Performance Management (OPM), Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, Governance, Risk & Compliance (GRC), Domo, Risk & Compliance (GRC), SAB Miller