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Advanced Analytics Solutions

Advanced analytics empower you to uncover hidden patterns in data, that you can tap into to inform decisions and deliver better business outcomes. Our solutions integrate both predictive and prescriptive analytic models directly into your business processes, so you can make the right decisions every time, without the need for advanced statistical or mathematical skills.


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Predictive Analytics

Tools and knowledge to predict patterns and uncover insight

These solutions enable classification, association, segmentation, simulation, time-series analysis and forecasting.


  • Classification

    Predict a known result, such as whether a customer will buy or leave or whether a transaction fits a known pattern of fraud.

  • Association

    Find patterns where business entities are linked, predict multiple outcomes and associate a particular conclusion with a set of conditions.


  • Segmentation

    Segment data records into clusters with similar patterns and provide useful descriptions. It's useful in cases where the specific result is unknown; when identifying new patterns of fraud, or identifying groups of interest in a customer base.


  • Simulation

    Understand the impact of risk and uncertainty in financial, project management and cost predictive models. Quickly identify the factors with the greatest impact on business outcomes. Establish more accurate results than conventional what-if analysis.


  • Time series forecasting

    Uncover hidden causal relationships among time series; automatically determine the best predictors for each target series. Predict the number of staff required each day for a call center, or forecast the demand for a particular product or service.


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  • Who uses advanced analytics?


    Data analysts

    Planners

    Forecasters

    Survey researchers

    Program evaluators

    Marketers

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  • Geospatial analytics - Insight into relationship between data and geographic location

    Our geospatial analytics solutions let you use historical data such as location, the type of event, and the time an event happened to describe the occurrences of events, such as crimes or disease outbreaks. Use measurements taken over time at locations in 2D and 3D space, to predict how those areas may change over time.
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  • Entity analytics - Detect related entities across large, sparse, and disparate collections of data

    Improve the coherence and consistency of data by resolving like entities even when the entities do not share any key values. This capability is especially useful in applications like customer relationship management, national security, fraud detection and preventing money laundering.
  • Social network analysis

    Examine the relationships between social entities and the implications of these relationships on behaviour.These capabilities allow you to identify and better understand groups, group leaders and spheres of influence:

    • Build predictive modelsa about individuals and enhance these models with their group and social behaviour data.
    • Capture consumer data from social media to understand attitudes, opinions and trends, and manage your online reputation.
    • Predict customer behaviour and improve customer satisfaction by anticipating customer needs and recommending next best actions.
    • Enable customized campaigns and promotions that resonate with social media participants.


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  • Prescriptive analytics Optimize operational decision making and automate business decisions that control critical business processes

    Prescriptive analytics allow you to automate and optimize transactional high-volume decisions in processes, at the point of impact.

    • Combine predictive models, business rules and scoring to deliver recommended actions in real time.
    • Make better decisions about whether an applicant’s loan should be approved, or which patients are most likely to respond to a particular treatment program, and whether allocating scarce resources to a prevention program is the most effective care approach.


  • Prescriptive analytics also empowers you to optimize complex, frequently occurring, and repeatable operational decisions to maximize profit, performance, or yield; or minimize loss, risk, or cost

    Determine the best trade-offs given a set of business rules and constraints, so you can optimize decisions like:

    • Pricing time-sensitive products
    • Delivery routes and schedules
    • Machine or equipment preventative maintenance schedules
    • Staff scheduling
    • Machine control or resource distribution to maximize yield
  • Integration, scalability, extensibility and deployment Intuitively integrate data from multiple sources


    Integrate structured, unstructured or semi-structured analytical data from traditional relational database management systems, social media data, big data stored in Hadoop, and more, without extensive technical skills or coding.

    • For atypical problems, extend your analytics with “R”, Spark and Python, as well as Hadoop.
    • Deploy analytic models, business rules and event management on premise or in cloud-based platforms.


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  • Success Story

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  • Versicherungskammer Bayern

    IBM Predictive Analytics helps us provide the customer with individualized and specific products and also offer the customer with seamless interaction with our Operations

    Dr. Shivaji Dasgupta, Head of Big Data & Advanced Analytics

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