POWERFUL CONTEXT 

AUTOMATION SOFTWARE

Data Analytics For Business Users

The Data Navigation System™ (DNS) from Promethium is an AI-Powered Data Context solution that automatically reveals the value of data and the questions that the data can answer.  DNS is offered as a SaaS solution in the public cloud or in the customer’s Virtual Private Cloud (VPC) or even as an on-premise solution, and integrates with existing databases, data warehouses, data lakes, and cloud-based data sources.  It also integrates with existing data management and Business Intelligence solutions to automate the entire analytics process to provide the user with the right data to answer the right question/query in minutes as opposed to months.  

Companies can use Promethium to achieve the following use cases:

 

  1. Self-Service Data Discovery

  2. End-to-End Self-Service Analytics

  3. Real-Time Data Governance

 

Data Discovery 

The Data Navigation System (DNS) is an AI platform for BI consisting of five modules. Data Discovery, the first module, is comprised of Smart Bot and Smart Explorer.

SMART BOT™:  is a contextual data discovery product that provides API connectors for databases, data warehouses, data lakes, cloud data sources, data catalogs and metadata management tools. 

SMART EXPLORER™:  provides keyword search across all data sources, allowing you to search by name, data type, vendor or other metadata attributes. Data Explorer™ associates search terms with questions that can be addressed by search terms. 

Search for anything by name across all data sources

Data Modeling 

Data Modeling is the second module in the DNS Platform, and consists of three products: NLP Question Builder™, Data Map Builder™ and Directions Builder™. 

NLP Question Builder™:  is an NLP driven method that allows the user to ask a question and have that question automatically translated into a logical data model that maps to actual and live data in the environment. Question Builder™ then provides an AI-based suggestion for the most relevant data to be used in building a logical model to aid the user. 

Data Map Builder™:  provides a live and dynamic representation of the data required to complete the query. As a next-generation Entity Relationship Diagram, it can span across multiple databases and vendors, show both actual and suggested relationships, dynamically update as metadata from the data source changes, and automatically inherit existing relationships from data sources.

Directions™:  automatically generates step-by-step instructions on how to assemble the data required for the search/query including which table to select, from which vendor and which columns/fields to join from the most appropriate vendor. To facilitate collaboration, Directions™ provides one-click email, as well as one-click slack message.

Promethium identifies what data you need, where it comes from and how to join the data

 
 

SQL Builder 

SQL Builder, the third module in the DNS Platform consists of SQL AI™ 

SQL AI™ automatically converts the output from Directions™ into a valid SQL statement with no coding required. SQL AI™ also provides the ability for the modification of filters as well as other parameters for the SQL statement and integrates with 3rd party BI tools such as Tableau™.

Promethium creates a valid SQL statement with no coding required.

 

Data Virtualization 

The fourth module in Promethium’s DNS platform, Data Virtualization, is comprised of Kaleidoscope™ 

Kaleidoscope™ creates a virtual view of a SQL statement that can consist of data sources across multiple and different vendors.  By leveraging the state of the art technology from Apache Presto to achieve the best performance and scalability for actual data aggregation and computation, Kaleidoscope allows for powerful queries without performance degradation.

 

Data Governance 

The fifth and last module residing in the  DNS platform is Data Governance, and is comprised of Guardian™.

Guardian™ provides automated governance across all data sources, with visibility down to a specific query level.  Guardian will red flag duplicate data as well as highlight any data discovery issues. Lastly, Guardian provides a visualization of all available data lineage.

Multiple match to find all instances of the same/similar data & Lineage to show data provenance & where the data comes from

Promethium identifies duplicates and recommends which is the best fit.

Promethium automatically shows data quality issues.

"L" notifies users of data's lineage.

Promethium’s DNS platform supports the following data sources:

  • Oracle

  • MS SQL

  • MySQL

  • Teradata

  • Cloudera 

  • HortonWorks

  • Snowflake

  • AWS Aurora

  • AWS Athena

How Do I Get It? 

DNS will be available on the Amazon Web Services Marketplace, the Microsoft Azure Marketplace, or directly through Promethium and its network of channel partners. DNS can be installed natively in the cloud or on-premise, and supports all major flavors of RDBMS, HDFS and other popular cloud data sources.

 

About Promethium
Promethium is breaking the conventional process and doctrine around analytics and big data. We believe that customers should not have to endure long wait times and complex tasks involving several tools just to leverage data for analytics. 

 

Analysts should not have to wait weeks to discover if the data they requested matches the question they need to answer. 

 

Likewise, a data scientist or IT admin should not have to waste up to 80% of their time searching, ingesting, and prepping data before actual data analysis. Just as Google Maps have simplified our personal lives, we aim to simplify the lives of our customers when it comes to analytics. Just ask your question and leave the rest to Promethium.  

AI-Powered Data Discovery Data Sheet

Data Governance Data Sheet

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About Promethium

Promethium is breaking the conventional process and doctrine around analytics and big data by providing a fully automated solution that helps enterprises govern their data at enterprise scale. Now, organizations can not only find all of their data across disparate data sources, but understand the context of that data upfront, helping them become faster, more effective and more accurate with analytics and governance.