Data360 Analyze

Data360 Analyze is a self-service, data preparation platform with analytic building blocks that enable highly configurable and repeatable data workflows

It is also tightly integrated with Data360 Govern for metadata harvesting, data lineage creation and maintenance, data quality analysis and data profiling.

  • Provides an agile, intuitive, visual interface to acquire, prep and analyze data in a consistent, transparent, reusable and collaborative way

  • Empower end users and analysts

  • Enterprise flexibility to optimize TCO

  • Data insights without heavy IT involvement

  • Ramp up quickly with pre-built source, output and function libraries

Important strengths

  • Easy to learn, immediate benefit

    Providing an agile and intuitive graphical design environment for the rapid assessment of data and the development of analyses.

  • Flexible and fully configurable

    You can adapt the data flows fully in order to those to your specific, complex requirements and desires.

  • Real easy to configure data flows

    Just pick & choose and drag and drop to define the functionality needed to process the data.

  • Native connectors and SKD

    Easily ingest metadata into Precisely Data360 with our expansive list of data connectors or create your own connector with our connector accelerator kit for your unique data sources.

  • Integrates with a data catalog

    Integrates with Data360 Govern to push harvested metadata, data lineage and data profile statistics to the catalog to link the information with business terms, company objective, owners and stewards and operationalise data governance.

  • Comprehensive and complete

    Data360 Analyze is offering everything you need, flexible data capture, powerful analytics note library, traceable data flow & lineage, automation, rich API set, predictive modeling & machine learning

Feature overview

 

  • File-based data (e.g. CSV, Excel, XML)
    Databases & repositories (e.g. Oracle, Teradata, Hadoop)
    Web services (e.g. SalesForce, SharePoint, REST/ SOAP APIs)

  • Data profiling & statistics
    Automated conversion
    Blending & fuzzy matching
    Aggregation & segmentation
    Filtering & merging
    Metadata analysis & manipulation
    Conditional logic
    Encryption

  • Visualization integration (e.g. Qlik, Tableau, Spotfire)
    File extracts (e.g. CSV, Excel, XML)
    Database export (e.g. Oracle, Teradata, Hadoop)
    Web services (e.g. SalesForce, SharePoint, REST/ SOAP APIs)

  • HiveQL
    HDFS
    Spark / Spark SQL
    MongoDB

  • Python
    Java
    R
    REST API
    SOAP API

  • Object-oriented library sharing model
    Shareable data flows
    Producer/Consumer roles
    API data source integration

  • Scheduled data flow execution
    Server REST API

  • Linear regression and quantile regression
    Decision Forest
    Time series forecast
    Market basket analysis
    K-means clustering and hierarchial clustering