Data science Platform

Our Packaged Product For Engineering At Scale

Data science is one of the hottest careers in today’s market. The 1Digit team of Data Scientists, DevOps Engineers and Data Architects are provided as a shared resource when you opt to use our data products. You can choose to run on your own cloud subscription, use our SaaS or opt for a hybrid solution.

  • Information Architecture

    Information Architecture

    Document your existing information architecture, data points, goals and develop a future vision for your business.
  • DevOps

    DevOps & CloudOps

    We will help you deploy and automate our data products to your cloud subscription.
  • Schema & Pipelines

    Build Schema & Data Pipelines

    Present future proof data schema with strong Governance and Privacy built in.
  • Go live with MVP

    Fast GoLive of Data and MVPs

    Focused on delivering visible results within weeks instead of months.
  • Total Control & Safety

    Ensure protection/ encryption of your data with continuous improvement and knowledge transfer to internal teams.
Microscope

Case study walkthroughs

We can share some details on real world examples of our data pipelines and Machine Learning algorithms in action.

Tools Of The Data Science Trade

Data Platform Goals

Our Data Science products and services focus on helping our clients achieve the maximum potential of data within their industry. We identify and target data within business processes, user behaviour & transactions that can provide immediate business benefits.

Creating Value

Our tools create value by utilising existing buckets of structured and unstructured data, combining these with real-time feeds and funnelling the data to areas of maximum business advantage leveraging intelligent analysis and AI/ Machine Learning algorithms.

Your Cloud, our CloudOps

We have been shifting out products towards Kubernetes containerisation, this coupled with Terraform allows us to deliver a truely cloud-agnostic product. We work with our clients cloud of choise be it AWS, Azure or GCP.

Areas of Data Science we specialise in

Data science technology can help organizations turn their data into a valuable resource in the creation of business value. Data science tools are capable of handling data volumes that are too big for traditional databases or statistical tools.

Data science tools create value by mining large amounts of structured and unstructured data to identify patterns can help an organization to more effectively manage costs and achieve competitive advantage.

Area Description Platform
Data mining It is the process of extracting insights from the data using certain methodologies and algorithms
Cloud Computing Distributed computing for data processing workloads and AI model execution
Business Intelligence It is about answering not-so-obvious questions.
Machine Learning Machine Learning is the state-of-the-art methodology to make predictions from the data, and help the business make better decisions.
Deep Learning Deep Learning is a branch of Machine Learning which uses neural network to make predictions.
Natural Language Processing A specialization in Data Science which deals with raw text. The natural language or speech is processed using several NLP libraries, and various hidden insights could be extracted from it.
Data visualisation Charts, graphs and dashboards help management make better decisions.
Domain Expertise Sector relevant experience and expertise.
Database management A database management system maintains a link among the data.
  • Data mining

    It is the process of extracting insights from the data using certain methodologies and algorithms.

  • Cloud Computing

    Distributed computing for data processing workloads and AI model execution.

  • Business Intelligence

    It is about answering not-so-obvious questions.

  • Machine Learning

    Machine Learning is the state-of-the-art methodology to make predictions from the data, and help the business make better decisions.

  • Deep Learning

    Deep Learning is a branch of Machine Learning which uses neural network to make predictions.

  • Natural Language Processing

    A specialization in Data Science which deals with raw text. The natural language or speech is processed using several NLP libraries, and various hidden insights could be extracted from it.

  • Data visualisation

    Charts, graphs and dashboards help management make better decisions.

  • Domain Expertise

    Sector relevant experience and expertise.

  • Database management

    A database management system maintains a link among the data.

What do Data Scientists Do?

Although data scientists write code, they are quite different to developers. One of the main differences is that data scientists are primarily engaged in research, rather than in building products.

The job performed by data scientists is largely experimental. They build models that are designed to be predictive and then run them to see how well they perform. Then they tweak them and run them again.