USE CASES

The Zetaris Networked Data Platform is deployed either as a powerful data access layer across your existing data ecosystem or as a full-stack data platform with analytical data virtualization built-in.

BUSINESS USE CASES
TECHNICAL USE CASES

Business
"Self
Service" Data
Discovery &
Collaboration

AI Assisted
Data
Governance

Business Designed & Built Query Layer

Expanded BI Cube for Business Consumption

Real-time Data Governance

Business "Self Service" Data Discovery & Collaboration

Description

Data to answer important business questions is hidden in many different systems within your company or in the cloud. With the Zetaris Networked Data Platform, you are able to find important data, know which system it is in and understand the meaning of it in the context of your business. You can also add your own tags, notes, documents, etc. to help bring deeper meaning to data within your company.

Benefits

High collaboration over the data driving new ideas, innovation and customer outcomes
Fastest time to insight
Deeper understanding of business issues as you join data from different systems to get a clearer perspective
Shorter time to respond to the market
More valuable data driven innovation driven by the business

Massive cost savings in avoidance of rework

AI Assisted Data Governance

Description

Data in different systems is either undocumented, described incorrectly, documented is "IT" metadata that no one understands. So, when a business question needs to be resolved, there is a massive effort to create a high quality, high integrity (are you comparing the right things) and high quality business consumable representation of the data.

Zetaris uses AI and data governance industry templates to discover and apply business rules (including constraints) enabling AI assisted governance. Zetaris ensures data consistency, accuracy, compliance and quality.

Benefits

Correct reporting
High data quality
Fast business model (schema) development
Model and query at the same "real-time"
Data regulatory compliance

Business Designed & Built Query Layer

Description

Zetaris enables business people to create their specific data views (or data fabrics) which they connect to their favorite tools like Tableau, QLIK, Looker, etc.

Benefits

Self service
Fast data access
Instant outcomes
User defined and built requirement

Expanded BI Cube for Business Consumption

Description

Zetaris attaches to all your back-end data sources and presents a unified view of data for your BI tools. Don’t be limited by the dataset within the BI tool’s cube, database or universe.

Benefits

Single view of all data needed to make the right decision

Real-time Data Governance

Description

Zetaris enables the business user to trawl over all connected back-end data sources to find hidden patterns, develop reporting and dashboarding data and build high value AI algorithms.As the above happens, Zetaris Policy Based Governance module over-sees the user query to ensure that the query or algorithm is within business policy.

Benefits

Real-time oversight of business and IT users
Avoidance of the query from hell
Avoidance of a regulatory or data breach

Migrate Legacy BI Platforms to Cloud Platforms

Monitored Self-Service

ETL or ELT Consolidation

Virtual
Data Lake

Real-time Data Governance

Migrate Legacy BI Platforms to Cloud Platforms

Description

Moving your legacy data warehouse or data lakes to the cloud can be risky in terms of project failure and costly if you use the wrong approach. Zetaris' "Lights On" Cloud Migration solution not only de-risks the migration, but also, leaves the final end-state in a best TCO cloud optimized state to ensure that the cloud vendor’s capability is optimized both for cost and performance. Zetaris has a full methodology, code conversion, industry models and other IP that is automated to minimize the time to migrate.

Benefits

Lowest cost of migration
Optimized end-states
Lowest risk of project failure
Automated and direct business collaboration to ensure business sign-off
Business applications, BI tools and other requirements continue during the migration due to the "Lights On" approach

Monitored Self-Service

Description

Zetaris enables IT teams to provide the business with access to the data in a monitored self-service "point-n-click" application. IT staff get out of the business’s way and become a facilitator to the data layer creation. This leaves IT team to focus on high value data analytics development.

Benefits

Higher business / IT collaboration
Massive cost reductions in data platform development
Increase and acceleration of higher value business outcomes

ETL or ELT Consolidation

Description

Zetaris is the world's leading analytical data virtualization software. We consolidate the ETL/ELT layer by applying virtualization to it. We have specific IP and methods in how this can reduce costs by up to 90%.

Benefits

Massive reduction in ETL costs
Fastest time to data migration/data access
Fastest data refresh time cycles

Virtual Data Lake

Description

Zetaris gives you the option to not move or copy all the data to a central data lake. Zetaris will let you leave data in place and still enable the kinds of queries, algorithms and processing. We call the ability to join data across your data center and the cloud analytical data virtualization.

Benefits

No need for massive duplication of data
Lowest cost data lake architecture – only replicate what you really have to
Single point for data governance, security, IP protection and avoidance of a data breach

Multi-Cloud Joined Data Layer

Description

Organizations have data in different places. Data may be in the cloud, in another cloud, or in the data center. When data is needed for a new application, Zetaris can join data in different places instantly.

Benefits

10x faster multi-cloud application build
Lowest cost off dev
Best data quality

Our service provides important features that are now key to delivering world-leading information management

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Self service data layer

Most organizations want to service their business teams’ data access requests in a more agile manner. They want to facilitate a more self-service environment for the end-users who are looking to answer business questions with data. The current paradigm means waiting for costly physical data extraction processes using ETL tools. With the Zetaris Networked Data Platform in place, users can connect to source databases and instantly explore and query data making decisions support a real-time process. Zetaris enables ad-hoc querying, and using data virtualization to augment other parts of the client’s architecture (such as data warehouses, data lakes, streaming etc.) in a logical data warehouse architecture.

Adaptive data virtualization

Once the Zetaris Networked Data Platform is in place, the business has a window into available data sources and can join data points across these sources and analyze them with their preferred tools. Zetaris acts like most ETL (data integration) tools, having the ability to connect to different types of sources (databases, both relational and NoSQL, Hadoop/data lakes, SaaS applications) out of the box, and to targets such as common Business Intelligence tools and data science tools. So jbbc/odbc drivers, RESTful APIs, etc. are provided by Zetaris.

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Data centre or cloud

Zetaris is available in Azure and AWS as a Cloud product. Alternatively, customers can deploy our software internally on a Linux cluster with our Zetaris Enterprise product. This can also be deployed on any Cloud on top of a Linux machine.

Compliance

Lots of organizations look at data virtualization tech simply because they can’t move data into their ecosystems anymore, due to compliance restrictions imposed by GDPR, CCPS, HIPAA, etc. Zetaris comes with a set of full governance and data privacy capabilities. Our Zetaris Policy Agent enforces business and governance policy at query and analysis time, thereby avoiding data breach risks. ​

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Analytical Data Virtualization is a must-have

Zetaris defines a data fabric as the ability to coordinate (in real-time with automation) all of the five data integrations styles (Data virtualization, batch/ETL data replication, synchronization, message-orientated movement of data and stream data integration) to achieve the best use case optimisation.

We use our analytical data virtualization technology (the Networked Data Platform), as the glue to stitch systems and data together and as a metadata-driven hub to create a single management and control point of all the enterprise and other data needed to form an organisation's data layer.

In line with global advisory Gartner, we also believe that analytical data virtualization is a must-have part of an enterprise's data architecture. We take this further by suggesting that in today's digital landscape and distributed data environment, analytical data virtualization is the glue that pulls the right data points together at the right time for your mission-critical and analytical applications. Our Networked Data Platform software makes doing this easy with a high level of deployment and operational automation.