Enabling innovation through enterprise data management

To get the most out of exponentially growing data, an effective Enterprise Data Management system is the way forward. EDM also improves business readiness as it provides refreshed data to the people who need it most, when they need it most. The idea comes down to the fundamental procedures of securing, validating, sustaining, and scattering significant amounts of enterprise data with negligible time and cost, while accomplishing the defined level of exactness and quality necessary.

Artha provides Enterprise Data Management (EDM) implementation services for organizations to manage and process various types of data and formats, including legacy data to the latest forms of internal and external sources. It’s important to have a deep understanding of the relationship between a user and their information. Our consultants drive excellent user experiences by developing outstanding applications using generic functions. Effective EDM is no easy feat and can only be accomplished with a deep understanding of your data and implementation of an intelligent EDM stratiegy — this is where Artha can help you!

The need for fast, efficient, real-time data storage, retrieval, and processing is greater than ever before. Legacy data warehouse structures are simply not built to withstand the robust modern data architecture demands. Artha brings experience in modern data architecture, cloud, Hadoop, Spark, machine learning, and artificial intelligence to provide cognitive data insights.

Master Data Management (MDM) is a systematic approach to business processes and technology components used for creating, managing, and sharing the master data across the enterprise and to external entities by applying relevant business policies.

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Data is growing exponentially across various systems within most organizations today. Effective data integration solutions are necessary to be able to integrate and turn the data into an asset. Artha, in partnership with Talend, AWS, and Azure enables our customers to connect to thousands of data points. We have great ideas around using Hadoop ecosystems and Spark engines to be able to derive meaningful insights from the data.

Application integration is a new standard in the use of technology and services to enable businesses to simplify and automate their processes. Artha’s experience with application integration helps businesses reduce overall costs, enable greater information exchange, and design and implement a seamless application integration strategy.

Data governance, the application of people, policies, processes, and technology working together to create a consistent record of an organization’s data, is a key component to any data management strategy.

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Poor data quality can have a detrimental impact on an organization’s decision-making and planning efforts.  Artha implements robust data collection procedures by defining proper fields and layers, and storing them in a secure, accessible format. In addition to enhancing the quality of the data itself,  data quality encompasses the establishment of desired business outcomes, which is driven by high quality data.

DevOps is a modern-day practice that unites the development and operations teams on a single platform.

Artha’s implementation of CI/CD in various organizations has proved that time spent designing, testing,  and deploying source code can be drastically reduced. We have expertise in building a CI/CD pipeline using automation tools (Jenkins, AWS Code Build, Azure DevOps, Atlassian Bamboo) along with containerization techniques and server-less deployment (AWS ECS, Fargate, Azure Kubernetes Services).