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Digital Transformation:
Why Data Science Matters?
Data is the backbone of digital business and fuels transformation. Corporations can experience this rebirth by treating data as a crucial driver of digital transformation, introducing an entirely new and powerful advantage and making the difference between a dramatically successful company and an average one. The transformation battle will go beyond customer experience to create contextualized customization—anticipating real needs of customers and thus opening up new business opportunities, and creating deeply meaningful user interactions.
Problems We Solve
with applied data science
Capturing Value from Data
Learn about how we assist organizations to thrive on data-based decisions within months of starting a big data project.
The Evolution of DMP
a universal approach to customer data
Client-tailored Solutions
Explore a spectrum of our automated and full-service custom solutions answering real business challenges fast and at scale.
How We Help Our Clients
We combine our advanced data science expertise with our business consulting and technological capabilities. Within months of starting a big-data project, we help our clients realize business opportunities by affording them the ability to act on insights derived from their data.
Create Data Opportunity
We work with you to assess the state of your organization's data and evaluate opportunities to capture value from advanced analytics.
Data Science at Scale
We build integrated analytics environments for our clients that enable hundreds of use cases powered by thousands of models. We create fast-to-market, tailored analytics with predictive power - placing our clients’ capability to derive insight ahead of the fast-paced competition.
Building a Data Business
Our data science projects enable significantly improved efficiencies and open pathways for building entirely new revenue streams by enabling clients to make decisions based on real insights derived from your customer data.
We Educate and Train
We assist clients to strengthen their organization’s data science capabilities, helping
all layers of the organization develop an increased level of comfort with data—including collecting data, asking questions of the data, and using it to drive decisions.
What We Think

SteppeChange Exhibits Real-time Visual and Predictive IoT Analytics for SamsungARTIK
Recently, SteppeChange exhibited at both the Samsung CEO Summit and the Samsung Developer Conference and showed a working demo of visual and predictive analytics for Samsung ARTIK. Samsung ARTIK is a latest end-to-end integrated IoT platform solution that – besides being a complete integrated IoT offering – stores and aggregates, transports, and brokers data between …

How SteppeChange used MongoDB Zones to build a Global Mobile Customer Engagement Platform
SteppeChange’s CTO and Chief Data Architect shares how and why the company relies on MongoDB for a variety of solutions, including an extendable mobile customer engagement platform for 220 million global users.

A complete guide to mastering push notifications
Setting out the guidelines for leveraging data science to help deliver hyper-relevant push notifications – underpinned by customer data and driven by innovative technologies.
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