Data Preparation for Data Science Team

End-to-End Data Engineering for AI & ML, Reporting and Analytics or Data Onboarding needs of a Data Science Department

Let Your Data Scientists Drive Your Business Success

One of the reasons data scientists can’t generate as much immediate value as companies need from complex machine learning models is the cleanliness of the data they are using.

Expand your data and analytics capabilities through effective data preparation and the implementation of a data science team. Improve complex data processes using data empowerment, data discovery, and consistency between disparate data sources.

At GreenM, we can simplify this complex data preparation process and let you focus on what matters most – on developing the most effective models for predictive analytics.

Industrialized solutions

Most companies and businesses are looking to significantly increase their use of data and analytics for a competitive advantage. Businesses are making investments in new technologies, and yet still struggling to scale them to full-service adoption due to the difficult process of getting data ready for analysis.

To get the results companies need from data science and big data projects, such as improved efficiency, new products and services, and generating new revenue, the raw material needs to be of a high quality. Our team knows how to help you improve the complex data preparation process, and get data insights to increase productivity.

Healthcare

Improve the healthcare data through the data preparation process. Build the right and safe consistency between disparate data sources, Data Discoverability, and Data governance to get the right value and processes.

Marketing

Get the insights you need from your data in a more efficient way. We can develop a data lakehouse, to store, refine, analyze, and access data types required for a variety of applications and sources, including images, video, audio, and semi-structured data.

Customer service

Data velocity is still increasing, and data preparation is the most effective way to generate insights from a wide variety of sources. By providing business users with self-service data preparation techniques, enterprises can analyze data sources while spotting trends, patterns, and correlations.

GOT A DATA
PROJECT IN MIND?

Take our short partnership survey and, together, we can develop the perfect solution to maximize the return on your investment in data.

Services for Data Science

Fast access to data, integrated from multiple sources, is a prerequisite for many companies today. Self-Serve Data Prep gives business users robust capabilities to explore, manipulate, and merge new data sources without the assistance of IT staff.

With our vast experience in data architecture, engineering, and analytics, GreenM specialists know how to simplify the complex data preparation process and help you to focus on the creation of the predictive model, managing the client relationship, and making strategic decisions.

Data Engineering

Data engineering provides a set of operations aimed at building interfaces and mechanisms for the flow and access of information. Our data engineers set up and operate the organization’s data infrastructure preparing it for further analysis by data analysts and scientists.

Analytics

Use the latest data science techniques to build innovative models and business solutions. Take advantage of advanced analytics to create new revenue streams, ensure cost savings, and reshape their traditional business into a data-driven enterprise.

Insights

Create analysis that can be performed from the front-end of the data analytics solution, and how difficult it will be for end-users to answer their business questions straightforwardly. Effective data modeling and ETL processes could have a significant impact on the overall performance of the BI solution.

Case studies

Building an MVP Based on Open Data for Sales in Healthcare

The result of the project is an MVP, a concise version of the original solution that would use publicly available data and showcase the demo results to the clients during the sales process without having to inquire them for anything before they saw the product. MVP approximates benefits of joining the PCF, personalized specifically for individual practices.

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Enhance Operational Efficiency and Key System SLA Compliance by Improving Workflow Orchestration

The result was a system that could handle a large number of data pipeline tasks. The number of delays and issues was reduced to the bare minimum. The client-side had more time to deal with business tasks.

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Delivery of a robust AWS SaaS platform from scratch in three runs

Our Goal was to constantly improve and adapt technologies in order to scale the system from 0 to 10K users during a rapid customer growth and allow for a quick onboarding.

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Scalable subscription service to improve Patient Experience

The main requirement was to replace an old subscriptions product, so a new one must have the same features and non-functional characteristics.

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Self-Service Analytics for Healthcare Company

Project goal was to get system logs from all clients and build comprehensive analytics to track usage, devices failure and performance.

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Generating Insights from Tableau Server Performance Data

To address the need for a powerful insight solution, GreenM team built a product that covers all of the aforementioned aspects. A scalable cloud-based application accumulates and processes all available Tableau Server information.

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How to Build a Scalable Data Pipeline

A product that can’t be changed tomorrow may turn out to be a wasted investment. That’s why a scalability is a leading tendency among business.

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Key Technologies

AWS

AWS gives data scientists access to highly capable virtual machines, allows to integrate with cloud-based digital products, and offers managed services to take care of your data engineering needs. These benefits mean that data scientists can profit from a more-than-basic understanding of cloud technology.

Tableau

Tableau changes the way traditional data prep is performed in the organizations. Combine, shape, and clear the data for analysis quickly and confidently. The direct visual experience provides you with a deeper understanding of the data, and smart experiences make data prep more comfortable and more accessible.

Apache Spark

Apache Spark delivers instant results and eliminates delays that can be fatal for business processes. It eliminates the need for multiple systems within an organization and solves several critical tasks within a single system, including data processing, modeling, testing, streaming, batch.

Vertica

One of the complicated steps is to gather all the data from various sources into one place. Vertica offers a comprehensive set of parsers to extract data in multiple formats, including text delimited format, JSON, Regex, ORC, Avro, Parquet or Shapefile, and a fast SQL engine.

View All Technologies

GOT A DATA
PROJECT IN MIND?

Take our short partnership survey and, together, we can develop the perfect solution to maximize the return on your investment in data.

Let’s Talk

Engagement models

To meet the requirements of each unique client, we offer three distinct engagement models — in other words, three different ways of structuring our collaboration with our clients.

Full Project
delivery

We do all the work while conforming to our client’s IT processes and security procedures to achieve a seamless workflow.

Team
extension

We can provide dedicated resources that scale up, and down, with your business, along with strategic engineering support to help you predict those needs.

Technology
consulting

Our solution-focused experts will advise on how to create easy-to-use analytics platforms that are simple and responsive.

GreenM Perfect Suite

The GreenM Perfect Suite is our working approach, which characterizes our “think big, but start small” philosophy. We have brought together understandings and learnings from dozens of client projects. Worked on ways to make data processing and analysis more cost and time effective for clients.

DISCOVER

Starting with discovery workshops, we are committed to understanding your challenges and goals. Next, we map out how we achieve those and what you can expect working with us.

CREATE

Now this is the development and building stage, often involving data analysis, storage, and algorithmic solutions that will start to draw out insights from the raw data.

REALIZE

Realize the full potential of the data in your systems. We can visualize it and make it actionable through web-based analytics and other systems, giving you the tools and capabilities to use data to drive growth and innovation.

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