Automated Reporting, Analytics & Intelligence
Automated Reporting, Analytics & Intelligence
Reports are used for keeping track of information, which may be used to make decisions. Written reports are documents which present focused, salient content, generally to a specific audience.
Reports use features such as graphics, images, voice, or specialised vocabulary to persuade that specific audience to undertake an action. Additional elements often used to persuade readers include: headings to indicate topics, to more complex formats including charts, tables, figures, pictures, tables of contents, abstracts, and nouns, summaries, appendices, footnotes, hyperlinks, and references.
Management information system (MIS) refers to the processing of information through computers and other intelligent devices to manage and support managerial decisions within an organization. The term is often used in the academic study of businesses and has connections with other areas, such as information systems, information technology, informatics, e-commerce and computer science; as a result, the term is used interchangeably with some of these areas.
Automated Reporting, Analytics & Intelligence in SAP Waste & Recycling One
SAP, Waste & Recycling One has a suite of pre-built reports covering the full end to end process. Data can be displayed in forms or output using SAP Business Objects Crystal Reports, which is embedded in the software. Scalable (SAP BO / CR) Analytics and Intelligence packages and platforms are also available. SmartWorld, ISB Global’s mobile, web and IoT connectivity innovations platform also allows for reports, analytics and intelligence platforms to be designed or choose off the shelf versions of the customer and supplier web portal or design your own mobile alerts with information you want to receive to any operating system and any device in real time.
Automated Reporting from Business Process
Business processes comprise a set of sequential sub-processes or tasks with alternative paths, depending on certain conditions as applicable, performed to achieve a given objective or produce given outputs (i.e. a report or information on activities). Each process has one or more needed inputs. The inputs and outputs may be received from, or sent to other business processes, other organisational units, or internal or external stakeholders.
Business processes must include up-to-date and accurate reports to ensure effective action. An example of this is the availability of purchase order status reports for supplier delivery follow-up as described in the section on effectiveness above. There are numerous examples of this in every possible business process.
Business process owners and operatives should realise that process improvement often occurs with introduction of appropriate transaction, operational, highlight, exception or M.I.S. reports, provided these are consciously used for day-to-day or periodical decision-making. With this understanding would hopefully come the willingness to invest time and other resources in business process improvement by introduction of useful and relevant reporting systems.
Automated Reporting & Business Analytics
Analytics have been used in business since the management exercises were put into place by Frederick Winslow Taylor in the late 19th century. Henry Ford measured the time of each component in his newly established assembly line. But analytics began to command more attention in the late 1960s when computers were used in decision support systems. Since then, analytics have changed and formed with the development of enterprise resource planning (ERP) systems, data warehouses, and a large number of other software tools and processes.
Automated Reporting Using Trustworthy Data
Business analytics depends on sufficient volumes of high quality data. The difficulty in ensuring data quality is integrating and reconciling data across different process’, and then deciding what subsets of data to make available.
Business analytics (BA) refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning, which is also based on data and statistical methods.
Automated Reporting to Drive Informed Decisions
Business analytics makes extensive use of statistical analysis, including explanatory and predictive modelling, and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions. Business intelligence is querying, reporting, online analytical processing (OLAP), and “alerts”.
Automated Reporting to Predict, Answer & Optimise
Querying, reporting, OLAP, and alert tools can answer questions such as what happened, how many, how often, where the problem is, and what actions are needed. Business analytics can answer questions like why is this happening, what if these trends continue, what will happen next (that is, predict), what is the best that can happen (that is, optimise).
- Decision Analytics: supports human decisions with visual analytics that the user models to reflect reasoning.
Automated Reporting & Data Management for Knowledge & Information
The Information Management Body of Knowledge was made available on the world wide web in 2004 and sets out to show that the required management competencies to derive real benefits from an investment in information are complex and multi-layered. The framework model that is the basis for understanding competencies comprises six “knowledge” areas and four “process” areas:
The Information Management Knowledge Areas
The IMBOK is based on the argument that there are six areas of required management competency, two of which (“business process management” and “business information management”) are very closely related.
- Information technology: The pace of change of technologyand the pressure to constantly acquire the newest technological products can undermine the stability of the infrastructure that supports systems, and thereby optimises business processes and delivers benefits. It is necessary to manage the “supply side” and recognise that technology is, increasingly, becoming a commodity.
The Information Management Processes
Even with full capability and competency within the six knowledge areas, it is argued that things can still go wrong. The problem lies in the migration of ideas and information management value from one area of competency to another. Summarising what Bytheway explains in some detail (and supported by selected secondary references):
- Projects: Information technology is without value until it is engineered into information systems that meet the needs of the business by means of good project management.
Automated Reporting & Real Time Business Intelligence
Real-time business intelligence is a concept describing the process of delivering business intelligence (BI) or information about business operations as they occur. Real time means near to zero latency and access to information whenever it is required.
The speed of today’s processing systems has allowed typical data warehousing to work in real-time. The result is real-time business intelligence. Business transactions as they occur are fed to a real-time BI system that maintains the current state of the enterprise. The BI system not only supports the classic strategic functions of data warehousing for deriving information and knowledge from past enterprise activity, but it also provides real-time tactical support to drive enterprise actions that react immediately to events as they occur. As such, it replaces both the classic data warehouse and the enterprise application integration (EAI) functions. Such event-driven processing is a basic tenet of real-time business intelligence.
In this context, “real-time” means a range from milliseconds to a few seconds (5s) after the business event has occurred. While traditional BI presents historical data for manual analysis, BI compares current business events with historical patterns to detect problems or opportunities automatically. This automated analysis capability enables corrective actions to be initiated and/or business rules to be adjusted to optimise business processes.
Business Intelligence is an approach in which up-to-a-minute data is analysed, either directly from operational sources or feeding business transactions into a real time data warehouse and Business Intelligence system.
Automated Reporting Displays on Dashboards
Dashboards often provide at-a-glance views of KPIs (key performance indicators) relevant to a particular objective or business process (e.g. sales, marketing, human resources, or production). In real-world terms, “dashboard” is another name for “progress report” or “report.”
Often, the “dashboard” is displayed on a web page that is linked to a database which allows the report to be constantly updated. For example, a manufacturing dashboard may show numbers related to productivity such as number of parts manufactured, or number of failed quality inspections per hour. Similarly, a human resources dashboard may show numbers related to staff recruitment, retention and composition, for example number of open positions, or average days or cost per recruitment.
Automated Reporting Dashboard Benefits
Digital dashboards allow managers to monitor the contribution of the various departments in their organisation. To gauge exactly how well an organisation is performing overall, digital dashboards allow you to capture and report specific data points from each department within the organisation, thus providing a “snapshot” of performance.
Benefits of using digital dashboards include:
- Visual presentation of performance measures
Dashboards can be broken down according to role and are either strategic, analytical, operational, or informational. Strategic dashboards support managers at any level in an organisation, and provide the quick overview that decision makers need to monitor the health and opportunities of the business. Dashboards of this type focus on high level measures of performance, and forecasts.
Strategic dashboards benefit from static snapshots of data (daily, weekly, monthly, and quarterly) that are not constantly changing from one moment to the next. Dashboards for analytical purposes often include more context, comparisons, and history, along with subtler performance evaluators.
Analytical dashboards typically support interactions with the data, such as drilling down into the underlying details. Dashboards for monitoring operations are often designed differently from those that support strategic decision making or data analysis and often require monitoring of activities and events that are constantly changing and might require attention and response at a moment’s notice.
Balanced Scoreboards and Dashboards have been linked together as if they were interchangeable. However, although both visually display critical information, the difference is in the format: Scoreboards can open the quality of an operation while dashboards provide calculated direction. A balanced scoreboard has what they called a “prescriptive” format. It should always contain these components (Active Strategy)…
- Perspectives – groupings of high level strategic areas
- Objectives – verb-noun phrases pulled from a strategy plan
- Measures – also called Metric or Key Performance Indicators (KPIs)
- Spotlight Indicators – red, yellow, or green symbols that provide an at-a-glance view of a measure’s performance.
Source: Wikipedia; SAP