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The focus of data technologies tools and teams in the last decade has largely been data aggregation, transformation and storage. However, data consumption, where the true value of data is realized, has been ignored or fragmented. Even though most organizations have digitized their data cycle, the linear approach from generation to consumption leads to complexity. This has inhibited the data consumers like the analysts, marketing teams, data scientists and introduced hurdles in their activities.

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The solution to this is DataOps which offers a streamlined process to bridge the gaps between the various stakeholders involved in collating, transforming, analyzing and consuming the data.

why-data

DataOps helps you coax order and discipline out of the chaos and solve the significant challenge of turning data into business value. It is a set of practices and technologies that operationalize data management and integration to ensure resiliency and agility in the face of constant change. The absence of DataOps will drag down the efforts to create business value out of data. Delayed time-to-market, and monetization, if any, will come with costs that can be easily avoid.

1

Advanced Data Analytics

DataOps accelerates the creation of insights using advanced analytics methods like Machine Learning and modeling integrating this with all kinds of BI/Reporting tools.

2

Dramatically Lower Data Storage & Ops Costs

DataOps helps create data services & assets faster and at significantly lower cost by reducing storage infrastructure and data operations cost while also increasing productivity and efficiency.

3

Execute Without Regulatory Risks

DataOps assists in the creation of consistent data governance policies that enable a rapid and secure flow of data.

4

High Performance

DataOps makes required business data available in a very short period of time, utilizing high performance computing environments.

5

Self Service Analytics

DataOps provides a secure workspace where teams are able to work with little to no dependence on data engineering teams.

our-approach

ACS Solutions’ DataOps offering facilitates the collaboration between traditionally siloed roles to drive innovation. We help enterprises evolve their data management strategies to handle data at scale while being aligned with the real-world market changes as they happen.

Virtualized Datasets

Virtualized Datasets

Updated automatically in background, transparent to data consumers.

Unified data helps find data errors and provide reports.

Privacy and Security

Privacy and Security

Role policy based secure access to the encapsulated data pods.

Each service communicated security with other services.

Costom Workspaces

Custom Workplaces

These environments can provide unique workplaces for each team.

These environments are capable of hosting microservices, data mounts and are cable of auto-scaling.

Integrate DataCycles to CI CD

Integrate Data Cycles to CI/CD

Infrastructure update can be easily accommodated.

Provision pipeline to run through different environments.

why-acs-solutions

With 20+ years of IT consulting Experience, ACS Solutions has helped Mid-Market to Fortune 1000 organizations plan and execute their data strategy to meet current and future needs.

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Get in touch with us for customized services and solutions for the unique challenges of your business.