dxOS | Thinking global

“Can dxOS power customer applications in multiple countries?”

Yes. dxOS instances are multi-regional by default.

 
 

“Can we control where data is stored and where it is processed?”

Yes. These are key considerations for global regulations such as GDPR.

 

“Can dxOS be configured to meet multiple global and local regulations?”

Yes, by design at state, country, region and data type levels.

 

“Will dxOS run on our preferred cloud service provider?”

dxOS is runs on cloud or on premise in containerised form. It runs on Google Cloud as the base option. Our cloud roadmap includes AWS, IBM, Oracle and others.

 

“Do you implement a single dxOS instance per country to build a global system?”

No. dxOS is a global, single sign on system. Users can pop up silos as per their operational requirements within their global instance.

 
 

“Can we aggregate global MI, data and reporting across individual silos in dxOS?”

Yes. dxOS aggregates MI across all client silos by design and auto generates regular reports or notifications. The data itself can always be accessed programatically, piped into legacy systems or accessed directly via dxOS ELT functions.

 

“How do we integrate dxOS with our legacy systems and architecture?”

dxOS integrates natively with over 1,400 applications out of the box. Integration options include: API, manual CSV injestion, standard ETL, webhooks or bespoke integrations

 

“How resilient are dxOS instances”

We recommend failover instances are provisioned to ensure uptime. Cloud vendors do have unexpected downtime and networks can and do have outages. In short dxOS can be configured for the resilience required by the activity being undertaken.

 

“How scalable are dxOS instances?”

dxOS is a global enterprise grade cloud architecture. It is distributed and scales elastically, that is to say it can process a single customer record of billions of customer records.

 

“We are building enriched customer profiles to support product design and targeting but estimate $750k in excess costs for robust PKI and customer consent management. Can dxOS help?”

Yes. The recent $10bn class actions against SalesForce and Oracle and multiple actions against Google have highlighted the risks of building enriched customer profiles without strong consent. dxOS is unique in that it offers a genuinely global, real time approach to customer consent management. If customer consent is active (i.e. not withdrawn or expired) a properly permissioned data scientist can explore that customer's data to lawfully to build rich, valuable profiles or research new and effective drug treatments.

 
 
 

“How can our quant and data science teams work with data via dxOS?”

dxOS offers SDKs in multiple languages such as Typescript, Python, Node and Scala as well as powerful real time processing services to support them. As long as the developers have up to date permissions they can interact with and process data.