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Data Is the Lifeblood of Successful Organizations

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To sustain your competitive edge, you need to capitalize on the torrent of structured/unstructured, IoT and raw data crossing your borders daily. A data ecosystem that efficiently aggregates and collates data from digital sources, as well as historical systems and data stores, is essential to deriving insights from today’s advanced analytics.

Xoriant defines the modern data ecosystem as a collection of data assets comprising Data Infrastructure, Data Analytics and Data Visualization. Together, they should render the right insights in the right visual format to achieve your business goals.

Key Service Areas

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Connect With Us to Learn More

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Ajit Mahajani
Ajit Mahajani
Associate Vice President
Technology

“How well your data ecosystem performs depends on whether the components are configured to support your business needs and goals. At Xoriant, we start by evaluating that ecosystem, then developing a strategy to optimize it--whether it’s a long, complicated undertaking or simply a matter of bringing in our experts to recommend the next steps.”

Data Management Insights

Protecting Data With AI

Protecting Data With AI

Gartner predicts that through 2022, data management tasks will be reduced by 45%. If augmentation in BI and analytics is any indication, this could lead to the development of a major new enterprise software category in data management.

With the use of AI, an IT team can protect a database with ease.

Regulatory Compliance

Regulatory Compliance

On the heels of GDPR and the newly-enacted California Consumer Privacy Act, data governance will be an increasingly regulated (and important) aspect of data management. These compliance mandates are just the beginning, as an increasing number of nations and US states consider their data privacy frameworks.

GDPR and CCPA will disrupt traditional marketing and data handling methods.

Multi-Cloud Data Management

Multi-Cloud Data Management

Hybrid and multi-cloud data management will soon become the new norm, with master data management proving to be the most adaptable to the cloud right now. This investment in cloud data management technologies will extend to SaaS offerings as well, namely data and DaaS products.

 

Data-as-a-Service will generate revenue for large organizations.

Graphic Databases

Graphic Databases

Graph databases are a type of NoSQL database, created to address relational database limitations. They prioritize the relationships between data, so querying is fast because they are perpetually stored in the database. These relationships can then be visualized, making them user-friendly for heavily inter-connected data.

Get a view of simple, complex relationships between unrelated data.

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Learn About Xoriant Frameworks for Enterprise IT
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Blog

Why Are Enterprises Using Policy-Based Data Remediation During Data Migration?
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Case Study

Enterprise Reporting for a Network Services Company With Data Lake
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https://cdi.xoriant.com/news/ai-ml-for-operational-data-management-2/

On-Demand Webinar

AI/ML for Operational Data Management

Data Management