IBM Decision Server Insights Provides Proactive Decisions in Real Time
•
1 like•1,087 views
This document discusses IBM's Operational Decision Manager product. It provides context-aware decision automation that allows organizations to make proactive decisions in real-time by putting data and events into context, applying analytics and business rules to gain insights, and putting decisions into action across various systems and channels. The product builds information contexts from various data sources, models business entities and contexts, leverages predictive models, recognizes patterns over time, and supports geospatial data and analytics. It also provides scalability, high availability, continuity of service, and intuitive modeling tools to help customers make decisions at scale.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Viewers also liked
Viewers also liked (7)
Similar to IBM Decision Server Insights Provides Proactive Decisions in Real Time
Similar to IBM Decision Server Insights Provides Proactive Decisions in Real Time (20)
Recently uploaded
Recently uploaded (20)
IBM Decision Server Insights Provides Proactive Decisions in Real Time
- 1. IBM Decision Server Insights Proactive Decisions in the business Moment October 2014 Alain Neyroud Program Director, IBM Operational Decision Manager
- 2. 2 IBM Operational Decision Manager To flexibly and reliably automate repeatable decisions When operational decisions are highly variable and change frequently When operational decision must be shared across channels or lines of business Apply Operational Decision Management… Capture and automate your business expertise at scale Proactively respond to business opportunities in real time Enable comprehensive decision governance to manage changes 2 Helping to Put the “Smart” in Smarter Process To timely detect business opportunities and risks and respond effectively (C) 2014 IBM Corporation
- 3. IBM Operational Decision Manager Application design and environment configuration Decision Center Manage Rules Service management and monitoring Design Monitor Decision Server MobileEnterprise Application POS BPM CRM Business Users Environment for Intuitive policy updates, point and click decision validation & social media style collaboration Govern Rules Decision Server InsightsDecision Server Rules Policy Manager Policy management Governance Deployment Execute decisions and expose services Business Analyst/ Developer System Administrator Rule Administrator (C) 2014 IBM Corporation
- 4. Context-aware Decision Automation Enabling Proactive Decisions in the Business Moment Request Driven Context-aware Whatever my next step, you have anticipated my needs ODM Decision Server Insights Whatever my action, you are ready to respond ODM Server Rules ODM Decision Server Insights helps organizations makes proactive decisions in the business moment and implement repeatable business outcomes by: • Putting data and events into context to understand and evaluate how everything relates in real-time • Applying analytics and business rules to gain the best possible insight to decide what is best • Putting that decision into action where it is needed the most: in processes, applications and interactions (C) 2014 IBM Corporation
- 5. Context-aware Decision Automation - a few examples A national airline monitors the journey of its customers, pro-actively informing them of schedule changes and compensating for any inconveniences. Optimize the traveler experience and proactively address and mitigate imponderables? A national railway company monitor their freight operations to optimize fuel consumption, enable predictive maintenance, facilitate re-planning and continuously inform customers about reached milestone or unexpected delays. Maximize the efficiency of my operations and predict equipment maintenance? A global financial services firm wants to be aware of all client activities across all channels – on premise, call center, online, social media, etc. – to be able to better serve their clients’ needs. Make my advisors always-aware of client activities and needs? A payment processing organization tracks transactions, establishes trends, detects patterns and predicts risks to identify fraud situations, take appropriate actions and alert the involved parties. Detect more complex patterns of fraud and update them faster? What if I could … (C) 2014 IBM Corporation
- 6. Decision Server Insights: Four steps toward Context-aware Decision Automation Social Cloud Mobile Internet of Things Big Data (C) 2014 IBM Corporation
- 7. 7 Timely detection and effective response in the business moment can only be achieved by building rich information contexts from often numerous and disparate sources. 7 Mobile Devices Sensors System of Engagement Social Media System of Record Processes Information Bus Data Warehouse Decision Server Insights enables you to quickly leverage your active or passive information sources through a comprehensive set of integration capabilities. (C) 2014 IBM Corporation
- 8. 8 You need to be able to aggregate and make sense of incoming data to develop meaningful, situational context (C) 2014 IBM Corporation Building an accurate representation of the entities and things that makes up an application context is critical for effective decision making. Decision Server Insights provides you with a flexible modeling framework that enable the easy representation of the critical aspects of your business Relevance is critical to successfully engage opportunities and optimal operations heavily depend on forecasting and anticipation. Decision Server Insights makes it easy to leverage the predictive models that can help you make the difference. Only looking at the current moment is not sufficient to detect opportunities and risks. Interpreting historical data over hours, days or weeks is critical to evaluate your customers preferences and needs or the dynamics of your business operations. With Decision Server Insights , you can easily recognize meaningful patterns and trends in real-time, leveraging long term historical contexts and powerful time series analytics Geo-location extends the opportunity for greater customer interactions and better operation management. Decision Server Insights provides you with extensive support for geospatial data and analytics including geo- location, geo-fencing, spatial relationship and more
- 9. 9 • Generalized used on business-friendly modeling across all aspects of the decision model design and management Rich time modeling, reasoning and analytics to detect and respond to the most intricate patterns and trends Innovative global analytics to extract insights over populations of business entities in near real-time and leverage them to further optimize decision models Success depends on effectively capturing diversity in decisions and adapting to unanticipated changes at the pace of your business. (C) 2014 IBM Corporation
- 10. 10 Insights leveraged from data and analytics are only useful if you can act on them. Decision Server Insights’ enables you to consistently engage in the business moment by pushing actions to the participants and systems most relevant to execute them. (C) 2014 IBM Corporation
- 11. Core Building Blocks Agent Business logic that is applied to an incoming event Entity Some business relevant thing and related information Event Message representing something that happened
- 12. Intuitive Natural Language Editors Automatic completion Highlighted terms and vocabulary Declarative Model Inline error detection For capturing models and business logic
- 13. Natural Language for Expressing Business Logic DetectaRiskSeizeanopportunity Knowledge about a current event Knowledge about past events related to that business entity Knowledge about a particular business entity which that event may impact Partial knowledge about the expected future course of events Knowledge about population of entities Trigger Action
- 14. 14 • Scalability Innovative data & compute grid delivers high throughput and supports dynamic addition of connectivity and computing resources • High Availability Easy to configure synchronous and asynchronous replication and optional disaster recovery • Continuity of Service Business logic, business model, analytic models and base software can be upgraded without impacting system operation Analyzing millions of interactions over periods of days, weeks or months imposes specific challenges in terms of performance, scalability and continuity of service (C) 2014 IBM Corporation
- 15. ODM Decision Server Insights – Key Benefits Decision Server Advanced enables customers to easily leverage the power and adaptability of analytics at the time of interaction Precision is critical for businesses to differentiate Decision Server Advanced solutions work at scale along all dimensions Self-serve mobile applications and the emergence of the Internet of things are pushing the envelope Decision Server Advanced provides the flexibility and agility of prescriptive Decision Management in a situational context Emerging scenarios involve complex, variable and dynamic decision-making, e.g, marketing, fraud, customer care, compliance, operations management Decision Server Advanced offers a simple yet powerful model-driven approach that limits complexity and risks Organizations have limited experience and specialized skills are scarce
Editor's Notes
- The next generation of business rules are here to help manage the complexity of your ever-changing decision making logic. This release extends IBM’s industry leading Business Rules platform towards even simpler and more consumable social media style user interfaces, to allow users in every part of your business the ability to confidently act on automated operational decisions. Meaningful operational decisions often occur on a massive scale with thousands, if not millions of repeatable interactions. Executing, and more importantly managing the full lifecycle of these policies requires sophistication and scale. A part of this lifecycle is simply the capturing and representation of these business policies from your business experts. Domain experts that are not IT specialists need to be able to use these tools to codify their hard-won expertise. The true representation of any enterprise, big or small, is the sum total of its business expertise which is captured in this operational decision management platform. With consumer technology capturing new trends of collaboration, ordinary users expect the simplest possible interface to be the most effective at their jobs. Social media style tools have set the bar on simplicity. Simplicity does not mean the abdication of rigor – it means simplicity must include all the necessary safeguards needed for a robust enterprise strength system. The tools must satisfy the needs of users during both the design and execution time of these business policies. These changes must happen at the speed of business and yet be completely safe to ensure the right levels of governance.
- Sense: Captures meaningful events across all channels, systems and devices Build: Put data and events into context to understand and evaluate how everything relates Decide: Apply the models, policies and best practices established by your subject matter experts Act: Initiates and consistently Automates the next best action
- Context: any information that can be used to characterize the situation of entities (i.e., whether a person, place, or object) that are considered relevant to the interaction between a user and an application. Entity Context: Building an accurate representation of the entities and things that makes up an application context is critical for effective decision making. Geospatial Context: Geo-location extends the opportunity for greater customer interactions and better operation management. Historical Context: Only looking at the current moment is not sufficient to detect opportunities and risks. Interpreting historical data over hours, days or weeks is critical to evaluate your customers preferences and needs or the dynamics of your business operations. Predictive: Relevance is critical to successfully engage opportunities and optimal operations heavily depend on forecasting and anticipation. Decision Server Insights provides extensive support for geospatial data and analytics including geo-location, geo-fencing, spatial relationship and more Decision Server Insights provides you with a flexible modeling framework that enables easy representation of the critical aspects of your business With Decision Server Insights, you can easily recognize meaningful patterns and trends in real-time, leveraging long term historical contexts and powerful time series analytics Decision Server Insights makes it easy to leverage predictive models that can help make the difference.
- ODM Advanced generalizes the use of natural language technology to all aspects of decision modeling fostering the active participation of subject matter experts, business analysts and data scientists in all activities associated with the design, implementation and management of a proactive decision service. In addition, ODM Advanced’s rich time modeling, reasoning and analytics help you detect and respond to the most intricate patterns and trends. Finally, ODM Advanced’s innovative global analytics allow you to extract valuable insights over populations of business entities in near real-time and leverage them to further optimize your decision models
- Event Think of an event as something that happens, or can happen. From a design point of view, an event is a specific action or measurement that occurred at a specific time and place. Entity Entities are concepts that have an identifier. Entities are composed of a set of properties and relationships to other concepts, and can inherit from existing concepts. Something relevant to the business. Think of a Person entity, your Customer entity and your Employee can inherit common properties from the Person entity. Agent An agent in Decision Server Insights defines the business logic that is used to detect situations of interest. Rule Agent Written using the Rules language Rule agents automatically manage the state for the accumulated events A rule agent can include rules that query, filter, and correlate events from the past and use them to detect situations of interest Java Agent Written in Java Any state needs to be maintained in an entity Predictive Scoring Agent Extension of the Java Agent with a built in API for invoking an SPSS Scoring Configuration
- Simple mise en oeuvre