Big Data

Domo has revolutionized our business by transforming us from running as a reactive and backward-looking metrics company to a forward looking metrics company. We are able to run our business with data like we have never run it before, and our leaders have really adopted it and our customers love it.

Jason Roberts,

VP Of Operations

Joseph Puthussery, VP of Digital Marketing

We ran out of scale, ran out of performance on the previous platforms.

Joseph Puthussery,

VP of Digital Marketing

Being able to harness big data appropriately is critical for UPS®. Having big data and not being able to use it doesn’t help you much. Domo brings our disparate data together to give our teams everything they need,

Jeff McCorstin,

President of Global Freight Forwarding at UPS

With Domo, we are able to combine data however we want to. We pull all of our data into Domo, and we can manipulate it as we need to. It’s almost inconceivable how much more we can do with Domo than what we could do before.

Dina Bunn,

Global Head of Central Operations & IT

Turn big data into valuable data.
The success of your data science project hinges on the quality of the data it uses. However, companies often gather siloed and inconsistently formatted data from various sources, leading to flaws in the final algorithm and undermining all your machine learning efforts. To transform your business into a data-driven organization, you need big data engineers. They lay the groundwork for big data analytics by handling the facts that data scientists later use to develop AI models. They find and manage data sources and establish your organization’s data management framework.
Our data engineers will locate, organize, and store big data for your project, either as part of your IT department or as an extended team.

Big data offers immense value for businesses of all sizes, as data becomes the world’s most valuable commodity. We unlock the power of big data for your company.

Data Architecture

Review your current data architecture to analyze data sources and define data lakes or data warehouses (DWHs).

Data Pipelines

Build data pipelines that gather, process, store, and provide easy access to data.

Data Cleansing

Clean, process, and transform data into usable formats for model development.

Big Data Platforms

Assist in selecting among big data platforms for managing your data infrastructures, including options like AWS (Amazon Web Services), Microsoft Azure, Google BigQuery, SAP, and others.

Technology Focus:

           

DATA. INSIGHTS. DECISIONS.

 

DATA. INSIGHTS. DECISIONS.

It’s clear that there’s a growing emphasis on the value of data and the imperative to become a data-driven organization. Budget allocations for data technology are on the rise in companies across all industries annually, leading to significant global advancements and innovation. Data permeates every aspect of our world. Whether termed “big” data or not, its volume is substantial and continually expanding. Embracing this reality has become the standard, and companies must evolve accordingly.

OUR SERVICES:

  • At Scale Services & Serverless Architectures
  • Big Data Engineering 
  • Streaming & Real-time Analytics Services
  • Dark Data & Edge Computing

OUR SERVICES:

  • Data Architecture
  • Big Data Engineering
  • Data Pipeline
  • Data Cleansing
  • Streaming & Real-time Analytics Services