Advanced Analytics Platform
Data Science Platform, Advanced Analytics Platform
Data Analytics, Reporting and Integration Platform
Why Choose Advanced Analytics Platform?
Deploy Anywhere
ZNAAP is flexible in it's deployment options, it can be run on bare metal, on virtual machines, bot on premises and/or on the cloud infrastructure of choice.
Customize to Your Needs
One size does not fit all; ZNAAP is built with each customers' specific needs to achieve and exceed the exact business insights required.
Most Advanced Algorithms
Apply most advanced data science algorithms to manipulate and process data. Use any of 100's of ready made analysis workflows or develop your own logic.
Build end-to-end BI solutions
ZNAAP integrates with your data sources and other data warehouse and big data systems, like Apache Hadoop and MapR, and many more.
Advanced Analytics Platform Features
Complete Data Science Modeling
We help you apply advanced analytics techniques, data mining, and machine learning algorithms to your data in order to build predictive models that are trained and ready to be deployed to most of the leading data mining tools.
Predictive models we produce are in the de facto industry standard, Predictive Model Markup Language (PMML), that allow for interoperability and sharing solutions between data mining and business intelligence applications. Meaning that a predictive model can be trained and build beforehand, integrated into a BI solution, then be used over and over again without the need to regenerate or retrain the analytics model for your data every time.
Multiple predictive models are build, using different statistical techniques, and compared against each other. As more data is accumulated, or as your requirements change, we can develop and run a new set of advanced analytics and machine learning processes, and produce new and enhanced predictive models ready to be integrated to your business applications, shielding end users from the complexity associated with statistical tools and models.
Load data from any source
Open and combine simple text formats (CSV, PDF, XLS, JSON, XML, etc), unstructured data types (images, documents, networks, molecules, etc), or time series data.
Connect to a host of databases and data warehouses to integrate data from Oracle, Microsoft SQL, Apache Hive, and more. Load Avro, Parquet, or ORC files from HDFS, S3, or Azure.
Access and retrieve data from sources such as Twitter, AWS S3, Google Sheets, and Azure.
Transform and shape data
Derive statistics, including mean, quantiles, and standard deviation, or apply statistical tests to validate a hypothesis. Integrate dimension reduction, correlation analysis, and more into your workflows.
Aggregate, sort, filter, and join data either on your local machine, in-database, or in distributed big data environments.
Clean data through normalization, data type conversion, and missing value handling. Detect out of range values with outlier and anomaly detection algorithms.
Discover and share insights
Visualize data with classic (bar chart, scatter plot) as well as advanced charts (parallel coordinates, sunburst, network graph) and customize them to your needs.
Display summary statistics about columns in a KNIME table and filter out anything that’s irrelevant.
Export reports as PDF, Powerpoint, or other formats for presenting results to stakeholders.
Store processed data or analytics results in many common file formats or databases.
BI Dashboards are an outcome of data insights with interactive and advanced visualizations and reporting.
Data Analysis Workflows & Pipelines
Create visual workflows with an intuitive, drag and drop style graphical interface, without the need for coding.
Combine tools from different domains with ZNAAP native nodes in a single workflow, including scripting in R & Python, machine learning, or connectors to Apache Spark.
Over 2000 modules ("nodes") to build workflow. Model each step of analysis, control the flow of data, and ensure work is always current.