Big on Data Science

We bring the power of data science & artificial intelligence to our customers

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Our Services

  • Data Strategy Consulting

    Align big data technologies with your business objectives

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  • Big Data Engineering

    Develop big data environment that enables you to embrace all your data

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  • Data Science & AI

    Discover the true potential of your data with our Data Science experts

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Use Cases

  • Churn Prediction

    Predict your customers’ behavior to earn their trust and prevent them from churning.

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  • Recommendation System

    Make sure your customers feel valued and always find everything they need and even more.

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  • Natural Language Processing

    Embrace the power of Natural Language Processing to automate text analytics in any of your projects.

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  • Customer Segmentation

    Analyze your customers encompassing a broader scope of information for better customer understanding.

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  • Advanced Analytics Adoption

    Transform an increasing amount of big data into business value without any risks.

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  • Real-time Stream Processing

    Make the best decisions fast without getting overwhelmed by the volume of real-time data coming in.

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  • Data Warehouse Modernization

    Ensure your data is available when and where it is needed.

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  • New Data Sources Ingestion

    Ensure your data warehousing solution captures all the essential data sources.

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  • Churn Prediction

    Customer churn is a measurement that shows how many clients discontinued a service or stopped buying a product. Acquiring new customers is 15 times more expensive than retaining the existing ones, which makes strategies built around churn and retention the most cost-efficient.

    We analyze your customer data to identify which customers are most likely to churn and why, so that you can implement an effective targeted retention campaign in a timely manner.

    Need help improving customer retention?
  • Recommendation System

    Recommender systems allow companies to provide personalized offers and experience to their customers. Quality recommendations increase customer engagement and impact customer lifetime value.

    Two main types of recommendations can be based on one’s previous purchases or on users’ similarities in behaviour and purchases.

    InData Labs solutions are adjusted and tailored according to each company’s KPIs.

    Need help creating personalized user experience?
  • Natural Language Processing

    We help our clients extract and understand the who, what, where, why and how from their corporate data. InData Labs offers to develop a complete cloud or self-hosted text analysis infrastructure using our own text analysis models and fine-tuning them according to each business’s data.

    We possess deep understanding of gaming, media & advertising industries and combine it with the most sophisticated natural language processing techniques in order to rapidly extract the value from our clients’ documents, social media accounts, and web pages.

    Want to gain insight directly from the voice of your customer?
  • Customer Segmentation

    The assumption that different customers have different needs and wants is nothing new, therefore segmented marketing campaigns are as high as 50 percent more successful than unsegmented ones.

    We help companies identify groups of customers with common needs and wants and behavioral patterns to effectively divide a customer base into categories.

    We create custom segmentation strategies that are relevant to specific business models and business objectives.This enables companies to proactively target the right customer at the right time with the right message.

    Maximize the impact of every marketing action!
  • Advanced Analytics Adoption

    Developing an advanced analytics roadmap can become a frustrating challenge even for a cutting edge company. The process requires an overhaul of the data infrastructure. The majority of companies choosing that road need a substantial upgrade to their data platforms.

    We take our clients through such transformations as replacing legacy systems with cloud-based solutions that support scalability, or replacing ETL with data management processes that support a move to real-time analytics.

    Ready to get started with an advanced analytics roadmap?
  • Real-time Stream Processing

    Most companies use analytics, many of them can act on data from months, weeks, or even days ago, but very few of them can respond to changes minute by minute.

    Real-time data processing and analytics technologies are helping companies quickly find useful information in streams of big data and make informed decisions to boost their business operations.

    At InData Labs we help to build real-time stream processing systems that can analyze semi-structured, unstructured or geospatial data while coping with fast-changing shapes of it.

    Need a solution to explore huge data volumes and gain business insights in near-real time?
  • Data Warehouse Modernization

    Traditional warehouses were never designed to handle the growing volume, variety, and velocity of Big Data. Data warehouses and requirements for them continue to evolve that’s why at some point companies face the need of aligning the data warehouse environment with new business requirements and technology challenges.

    Our team of world-class data engineers will help you accommodate massive data volumes, new data types, and new data processing workloads by adding data platforms and analytics tools to your Data Warehouse environment.

    Keep your Data Warehouse aligned with new business and technology requirements.
  • New Data Sources Ingestion

    Filling the data lake can be a very complex process requiring a comprehensive approach. A lot of organizations are currently being challenged by the diversification of data types and formats, plus the diversifications of data sources.

    We start the process of filling the data lake with identifying the data sources and the type of data that can support specific decisions and business objectives. Most of the exotic data types poised for future growth are the least managed at the moment, so we make sure to take into account GPS, social media, GeoIP data, and etc.

    Seeking new ways to incorporate more data from diverse data sources in your decision making?

Welcome to the data-driven world

Regardless of the industry, Data Science and Artificial Intelligence promise to reshape the way we do our jobs every day. At InData Labs we seek to bring the power of data science & AI to our customers. Whether you want to explore the possible use cases for big data analytics or have an AI solution in mind and want to start quickly, our team of world-class data scientists and data engineers can help you achieve big data success and get the most out of your investment.

 

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