Culture-first Data Science powered by Knowledge Graphs

Today, businesses compete on the basis of their ability to leverage their data assets to consistently make better decisions ahead of their competition. Our culture-first approach to solving business problems through AI and Data Science enables rapid innovations with agile analytics that transform the workforce. With Knowledge Graphs analytics at the core of our solutions, we enable Smart Data Ingestion, faster Data Visualization, reusable Predictive Analytics, and elastic content tagging.

Bringing consistent excellence in delivery with best in class Data Science practices

Our team of data scientists hails academically and professionally from diverse backgrounds, allowing them to derive best practices across domains and design the Analytics Center of Excellence (ACE) that best fits specific client requirements.

Within the ACE, we enable our clients to harness the power of MIT’s Enterprise Intelligence Hub (EIH), by deploying quick test-and-learn “pods” that allow them to co-create Data Science-Driven Solutions along with our data scientists.

This way, value is realized from the data and its insights, and from the learning of new skills that are necessary to leverage contemporary analytics to accomplish business objectives.

Analytics Center of Excellence

Analytics-Center-of-Excellence

Our pods are constructed as hybrids, where client teams are upskilled to create sustainable solutions. With faster insight iterations via the EIH, and a culture of constant learning in their organizations, our clients – together with us – invent their unique “Hyperscaler” that allows them to leapfrog the competition. It’s not just about technology; it’s about learning and evolving. It’s about cultural change, driven by Data Science.

Our Data Science offerings

We bring to our clients a culture of rapid learning coupled with a co-creation-driven approach to using Data Science to solve business problems. Our ultimate goal is to enable you to learn, adapt, and evolve faster than your competitors. We offer the following services within Data Science:

Data Science offerings

Data Science
metric-design
business-design
predictive-design
smart-design
signal-design
Data Science
Metric Design

During our initial assessment of client's data and business objectives we often discover that the metrics being used are due for redesign, for they no longer capture what is important to the business or do not confirm to contemporary business goals. Our Metrics design service does an inventory of current metrics and data assets. It further explores alternatives and designs new ones that fit-for-purpose to our client's business objectives based on the assessment.

Data-Science-offerings
Business Insights and Reporting

From insightful data visualisation to designing and implementing smart, dynamic reports, we help our clients derive layered insights from their data assets, enabling analysts and business leaders to shift the right information for their business objectives quickly.

Smart Automation

Leaps beyond the typical RPA, our smart automation consulting service considers the full spectrum of productization, taking into account the importance of adoption in our clients' organizations and their customers. Leveraging our proprietary graph and ontology-driven computer vision and ML techniques, we build self-patching and evolving document readers and writers, scene diagnostic engines, robotic assistants, matching engines, and behavioral shaping interfaces.

Metrics Design

During our initial assessment of client's data and business objectives we often discover that the metrics being used are due for redesign, for they no longer capture what is important to the business or do not confirm to contemporary business goals. Our Metrics design service does an inventory of current metrics and data assets. It further explores alternatives and designs new ones that fit-for-purpose to our client's business objectives based on the assessment.

Predictive and Prescriptive Analytics

We build predictive and prescriptive algorithm with our clients, incorporating domain expertise from the business, and future-ready algorithmic designs that leverage ontology-based networks. It enables our clients to predict and design on insights generated in real-time as their data.

Signal Detection

Discover new signals through AI/ML engines that can sift through multiple dimensions of data, using evolutionary knowledge graphs powered by self-learning ontologies. With the multi-dimensionality of our learning engines, we help companies build resilient models that adjust to contemporary events. We detect early indicators of fraud and financial stress, disease outbreaks, net promoter changes, claims and chargeback uptrends, and more.

We have designed and delivered Data Science-Driven, Digital Transformation, Analytics Centers of Excellence (ACE) across domains, including financial services, healthcare, consumer goods, retail, and public sectors. With COVID-19 business continuity confronting everyone’s digital strategy, we are helping our clients reopen and rethink how they do business, better than before.

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