Kofax offers Kapow, robotic process automation (RPA) software used to acquire information from a range of sources without human intervention and without having to write code. These sources include websites, applications, unstructured documents, data stores and desktop spreadsheets. RPA software does repetitive, low-value work that otherwise may be performed by person. It saves time in these tasks, completing them sooner and freeing skilled individuals to concentrate on work that utilizes their skills to the fullest. One of the earliest uses of software robots was “Web crawling,” which automated rapid collection of data posted on websites, for example, prices and locations. This was the Kofax Kapow’s original purpose, but its scope has expanded. When used to gather information from multiple applications, the software precludes the need for setting up and maintaining a separate data store. This saves time and money while ensuring that the information has come from the authoritative source and that there is no latency in the data. Rather than taking the time to write a program with broad applicability, a robot can be quickly configured to perform a specific task in a way that mimics how an individual does the job.
The proliferation of chief “something” officer (CxO) titles over the past decades recognizes that there’s value in having a single individual focused on a specific critical problem. A CxO position can be strategic or it can be the ultimate middle management role, with far more responsibilities than authority. Many of those handed such a title find that it’s the latter. This may be because the organization that created the title is unwilling to invest the necessary powers and portfolio of responsibilities to make it strategic – a case of institutional inertia. Or it may be that the individual given the CxO title doesn’t have the skills or temperament to be a “chief” in a strategic sense.
Topics: GRC, Bank, Chief Risk Officer, CRO, ERM, OpenPages, regulation, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Data Governance, Financial Performance, IBM, compliance, Data, Risk, risk management, financial services, FPM
Integrated risk management (IRM) was a major theme at IBM’s recent Smarter Risk Management analyst summit in London. In the market context, IBM sees this topic as a means to differentiate its product and messaging from those of its competitors. IRM includes cloud-based offerings in operational risk analytics, IT risk analytics and financial crimes management designed for financial institutions and draws on component elements of software that IBM acquired over the past five years, notably from Algorithmics for risk-aware business decisions, Open Pages for compliance management, SPSS for sophisticated analytics, Cognos for reports, dashboards and scorecards, and Tivoli for managing all of this in a Web environment. Putting its software in the cloud enables IBM to streamline integration and maintenance, offer more flexible deployment and consumption options and potentially lower the total cost of ownership.
Topics: Supply Chain Performance, GRC, Bank, Chief Risk Officer, CRO, ERM, OpenPages, regulation, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Data Governance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Information Management, Operational Intelligence, compliance, Data, Risk, risk management, Algorithmics, financial services, FPM
IBM hosted the Big Data and Analytics Analyst Insights conference in Toronto recently to emphasize the strategic importance of this topic to the company and to highlight recent and forthcoming advancements in its big data and analytics software. Our firm followed the presentations with interest. My colleagues Mark Smith and Tony Cosentino have commented on IBM’s execution of its big data strategy and its approach to analytics. As well, Ventana Research has conducted benchmark research on challenges in big data.
Topics: Big Data, Sales Performance, Bank, MRO, telematics, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, Location Intelligence, Operational Intelligence, FPM, Maximo, profitability management, TM1, Watson
Planning portfolio risk follows the same basic tenets as other sorts of business planning. It must be done in the context of a time dimension. In business, short-term plans are developed with a lot of givens or constraints. For example, capacities are fixed, because it’s impossible to wave a magic wand and bring a new factory on line, stuff more machine tools into already jammed facilities or source more raw materials in a capacity-limited supply chain. Short-term plans also incorporate assumptions about external forces (such as the economy, competitive moves or regulation) that are fixed or change very little in this period. By contrast, long-range or strategic planning is relatively unconstrained. The countries, markets or products that an organization can offer, for example, are not limited by current conditions. Indeed, that’s an essential point of long-range planning: assessing the impact of significant changes to today’s givens or assessing how to manage the impact of expected future trends.
Topics: Sales Performance, GRC, Bank, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Business Planning, Risk