Operational intelligence ( OI ) is a real-time, analytic business dynamics category that provides visibility and insight into data, streaming events and business operations. OI solutions run queries against streaming data feeds and event data to provide analytical results as operational instructions. OI gives the organization the ability to make decisions and act immediately on this analytic insight, through manual or automated action.
Video Operational intelligence
Destination
The objectives of OI are to monitor business activities and identify and detect situations related to inefficiencies, opportunities, and threats and provide operational solutions. Some definitions define operational intelligence as an event-centric approach to conveying information that empowers people to make better decisions, based on complete and actual information.
In addition, this metric acts as a starting point for further analysis (detailing, performing root cause analysis - binding anomalies to specific transactions and business activities).
The advanced OI system also provides the ability to associate metadata with metrics, process steps, channels, etc. With this, it becomes easy to get related information, for example, "retrieving contact information from a person who manages an application that performs steps in a business transaction that takes 60% longer than usual," or "refer to acceptance/rejection trends for customers denied approval in this transaction, "or" Launch the application that this process step interacts with. "
Maps Operational intelligence
Features
Different operational intelligence solutions can use many different technologies and are implemented in different ways. This section lists common features of operational intelligence solutions:
- Real-time monitoring
- Situation detection in real-time
- Real-time dashboards for various user roles
- Event correlation
- Industrial custom dashboard
- Multidimensional analysis
- Analysis of root causes
- Time Series and trend analysis
- Large Data Analytics: Operational Intelligence is well suited to overcoming the inherent challenges of the Big Data. Operational Intelligence continuously monitors and analyzes the various high speed, large volumes of Big Data sources. Often done in memory, the OI platform and solution then present additional calculations and changes, in real time, to the end user.
Technological components
Operational intelligence solutions share many features, and therefore many also share technological components. This is a list of some commonly found technological components, and the features they activate:
- Business activity monitoring (BAM) - Customization and dashboard customization
- Complex event processing (CEP) - Continuous and persistent analysis of real-time information and historical data
- Business process management (BPM) - To execute policies and processes driven by a model defined as a Business Process and Notation (BPMN) model
- Metadata template for modeling and connecting events to resources
- Multi-channel publishing and notifications
- Dimension database
- Analysis of root causes
- Multi-protocol event set
Operational intelligence is a relatively new market segment (compared to business segments and more mature business process management). In addition to companies that produce dedicated and focused products in this field, there are many companies in adjacent areas that provide solutions with multiple OI components.
Operational intelligence integrates information, supports more timely intelligent decision-making to maximize impact. By connecting events and data from streaming feeds and historical data silos, operational intelligence helps organizations gain real-time visibility of information, in context, through dashboards, real-time insights into business performance, health and status so that direct action is based on business policies and processes can be taken. Operational intelligence applies the benefits of real-time analytics, warnings, and actions to a broad spectrum of use cases outside and outside the company.
One specific technology segment is AIDC (Automatic Identification and Data Collection) represented by barcode, RFID, and voice recognition. The other specific technology is OKAPI platform. It is an Operational Excellence software platform that uses artificial intelligence and machine learning to provide companies with SMART KPI. The platform then uses data visualization to track the progress of hitting the KPI.
Comparison with other technologies or solutions
Business intelligence
OI is often associated with or compared to business intelligence (BI) or real-time business intelligence, in the sense that both help understand a lot of information. But there are some fundamental differences: OI is mainly activity-centric, whereas BI is primarily data-centric. Like most technologies, each can be sub-optimally forced to perform other tasks. By definition, OI is real-time, unlike BI or BI's "On-Demand", which is traditionally an after-the-fact approach and based on reports to identify patterns. Real time BI (ie, BI on request) depends on the database as the only source of events.
OI provides continuous real-time analytics on data at rest and in-flight data, whereas BI usually only sees historical data at rest. OI and BI can complement each other. OI is best used for short-term planning, such as deciding on "next best action," while BI is best used for long-term planning (over the next few days to several weeks). BI needs a more reactive approach, often reacting to events that have occurred.
If all that is required is a glimpse of historical performance over a very specific time period, an existing BI solution must meet the requirements. However, historical data needs to be analyzed by current events, or to reduce the time between when intelligence is received and when action is taken, then Operational Intelligence is a more appropriate approach.
System management
System Management mainly refers to the availability and monitoring of IT infrastructure capabilities. Availability monitoring refers to monitoring the status of IT infrastructure components such as servers, routers, networks, etc. This usually requires pinging or polling the components and waiting to receive a response. Capability monitoring typically refers to synthetic transactions in which user activity is replicated by a special software program, and the received response is checked for truth.
Processing of complex events
There is a strong relationship between complex event processing companies and operational intelligence, especially since CEP is considered by many OI companies as a core component of their OI solutions. The CEP company tends to focus only on developing CEP frameworks for other companies to use in their organizations as pure CEP machines.
Monitoring of business activities
Business activity monitoring (BAM) is software that helps in monitoring business processes, because the process is implemented in a computer system. BAM is a corporate solution aimed at delivering real-time business process summaries to top-level operations and management managers. The main difference between BAM and OI seems to be in implementation details - real-time situation detection appears in BAM and OI and is often implemented using CEP. Furthermore, BAM focuses on high-level process models whereas OI relies instead on correlations to infer links between different events.
Business process management
A business process management suite is a runtime environment in which one can execute a policy model and a process defined as a BPMN model. As part of a series of operational intelligence, the BPM suite can provide the ability to define and manage enterprise-wide policies, apply policies to events, and then take action in accordance with predefined policies. A BPM suite also provides the ability to define policies as if/later statements and apply them to events.
References
Source of the article : Wikipedia
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