Orchestrate

 

What is Data Orchestration?

Data Orchestration within the Datawave Platform enables your enterprise to combine data from multiple sources, platforms and systems and create a single point of reference for your mission critical data.

Businesses often hold critical data in many different environments, technologies and applications, all of which can be further complicated by inter-dependancies on other assets and resources.

Presently within many enterprises data held on individual customers is not shared internally due to proprietary formats or incompatible systems. As a consequence there is very little valuable insight or business intelligence available about their customers.

For instance, you may be a financial institution that holds customer data in one business unit that deals with mortgages, and hold data on the same customer in another business unit for credit cards or current accounts.

Moving data with ease and confidence

In order to enable organisations to establish an effective digital strategy and capitalise on the data they hold, they need a single data platform that provides rapid access to data via reliable data flow orchestration that can be catalogued, governed and provide managed self-service access.

These processes can encapsulate ETL platforms, hand coding, big data streaming and analytics, data wrangling as well as business intelligence tools. Orchestrating this critical data within the single, integrated Datawave Platform manages both new and legacy data flow processes together into a single platform for the first time.

Simultaneously the Datawave Platfom provides real-time information on where the data has come from, who is using it and which other processes depend upon it. The Platform offers an unrivalled ability to both build new dataflows as well as manage, understand and govern existing data flows within a disparate set of applications or across an entire enterprise.

Also, in a world of increasing Data demand and regulation, your Data Governance policies are also actioned in real time by using this metadata to manage, control and track dataflows.

Why is the time right for Data Orchestration?

It is clear that there is significant flux in the data integration market – parallel initiatives that include cost reduction, platform rationalisation, the adoption of the Cloud and other technology platforms and new business priorities. Increasingly, legacy and applications built on the latest technology live side-by-side, often relying upon the other.

This presents a number of opportunities that HCL Datawave can help to address by providing customers with a technology-neutral platform that supports both existing legacy applications and the customer’s drive to the latest technologies to enable a cloud-first and data-first that goes beyond siloed data systems and legacy databases towards hybrid and multi-cloud architectures.

1

Understand

Focused engagement to help customer understand their data landscape and begin Datawave encapsulation.

2

Rationalise

Work with the customer to remove duplication of their data movement using the Datawave Platform to aid discovery.

3

Plan

Identify areas that are ripe for movement to the cloud and isolate the rework to identifiable components. All controlled still within the same wrapper.

4

Deploy

Leveraging HCL’s heritage and skills in Platform work, we deploy the Datawave cloud and begin the movement offsite.

5

Grow & Repeat

HCL Datawave continue to assist in the movement alongside providing assistance in the continued data movement use cases.

1

2

3

4

5

Orchestrate. Automate. Transform.

 

Understand

Focused engagement to help customer understand their data landscape and begin Datawave encapsulation.

Rationalise

Work with the customer to remove duplication of their data movement using the Datawave Platform to aid discovery.

Plan

Identify areas that are ripe for movement to the cloud and isolate the rework to identifiable components. All controlled still within the same wrapper.

Deploy

Leveraging HCL’s heritage and skills in Platform work, we deploy the Datawave cloud and begin the movement offsite.

Grow & Repeat

HCL Datawave continue to assist in the movement alongside providing assistance in the continued data movement use cases.

What is Data Orchestration?

Data Orchestration within the Datawave Platform enables your enterprise to combine data from multiple sources, platforms and systems and create a single point of reference for your mission critical data.

Businesses often hold critical data in many different environments, technologies and applications, all of which can be further complicated by inter-dependancies on other assets and resources.

Presently within many enterprises data held on individual customers is not shared internally due to proprietary formats or incompatible systems. As a consequence there is very little valuable insight or business intelligence available about their customers.

For instance, you may be a financial institution that holds customer data in one business unit that deals with mortgages, and hold data on the same customer in another business unit for credit cards or current accounts.

Moving data with ease and confidence

In order to enable organisations to establish an effective digital strategy and capitalise on the data they hold, they need a single data platform that provides rapid access to data via reliable data flow orchestration that can be catalogued, governed and provide managed self-service access.

These processes can encapsulate ETL platforms, hand coding, big data streaming and analytics, data wrangling as well as business intelligence tools. Orchestrating this critical data within the single, integrated Datawave Platform manages both new and legacy data flow processes together into a single platform for the first time.

Simultaneously the Datawave Platfom provides real-time information on where the data has come from, who is using it and which other processes depend upon it. The Platform offers an unrivalled ability to both build new dataflows as well as manage, understand and govern existing data flows within a disparate set of applications or across an entire enterprise.

Also, in a world of increasing Data demand and regulation, your Data Governance policies are also actioned in real time by using this metadata to manage, control and track dataflows.

Why is the time right for Data Orchestration?

It is clear that there is significant flux in the data integration market – parallel initiatives that include cost reduction, platform rationalisation, the adoption of the Cloud and other technology platforms and new business priorities. Increasingly, legacy and applications built on the latest technology live side-by-side, often relying upon the other.

This presents a number of opportunities that HCL Datawave can help to address by providing customers with a technology-neutral platform that supports both existing legacy applications and the customer’s drive to the latest technologies to enable a cloud-first and data-first that goes beyond siloed data systems and legacy databases towards hybrid and multi-cloud architectures.

1 – Understand

Focused engagement to help customer understand their data landscape and begin Datawave encapsulation.

2 – Rationalise

Work with the customer to remove duplication of their data movement using the Datawave Platform to aid discovery.

3 – Plan

Identify areas that are ripe for movement to the cloud and isolate the rework to identifiable components. All controlled still within the same wrapper.

4 – Deploy

Leveraging HCL’s heritage and skills in Platform work, we deploy the Datawave cloud and begin the movement offsite.

5 – Grow & Repeat

HCL Datawave continue to assist in the movement alongside providing assistance in the continued data movement use cases.