How big data services move your business forward

Wonder how to turn big data challenges into winning strategies?

Oxagile is delighted to become your big data companion and join forces to meet all project deliverables. Take a glance at how it works when we point our clients to the right big data opportunities.

Detecting the right tools

“The abundance of data integration tools is no longer an issue. We’ve managed to overcome scalability hurdles, selecting only those solutions that accelerate performance.”

Perfect arrangement

“Luckily, a unified custom BI solution has unraveled the tangle of the enterprise reporting systems. No need to be buried under millions of reports any more, as Oxagile’s team showed us the way to stitch them together.”

Redoubled big data expertise

“After engaging a big data development company and their data pipeline specialists in the Snowflake data platform implementation, we resolved all data aggregation and storage issues.”

Smooth data migration

“Processing 10 billion records per day is not the limit for our product. Data volumes are growing exponentially, while data quality and security are kept high. Switching from third-party solutions to an in-house option helped us deal with all scalability limitations at once.”

We provide three big data offerings to pave your project road to success

Wonder which offer type is right for you?

Offering 1: big data services right on target

Whether you’re planning to replace expensive third-party system components with an in-house analytics solution, doubt about the best GUI option for data visualization, or wonder how to smoothly move data from on-premise to cloud, let’s talk about the big data services to deal with a matter.

Data engineering

  • Building scalable and secure ETL/ELT data pipelines
  • Auditing and optimizing pipelines for downstream analysis
  • Deploying data warehouses and data lakes

Data analysis and visualization

  • Building custom reporting dashboards
  • Implementing BI tools
  • Optimizing BI systems
  • Providing advanced ML analytics

Data and pipeline migration

  • Migrating data from legacy systems
  • Moving the existing data infrastructure to the cloud
  • Integrating systems across on-premise and cloud

Latest request

Offering 2: project and product milestones successful

No matter which project development stage blocks your way — we’re ready to get involved. Same for products — if you doubt how to empower them with big data capabilities or need a reliable big data implementation service provider, we’ll show you the ways to do it.

Custom big data projects: which stages we cover

  • Big data solution design
  • Streaming and batch data ingestion, processing, and storing
  • Traditional and advanced big data analytics
  • Data visualization
  • Data and pipeline migration (either cloud or on-premise)

Custom big data products: how we contribute to growth

  • Providing big data product development as a service
  • Launching and managing post-sales activities
  • Designing data models for new product features
  • Building data pipelines to power new product features

Doubling the power of your in-house team: who’s in?

  • Сertified data engineers, BI engineers, DevOps and DataOps specialists, ML specialists, QA experts, solution architects, project managers, etc.
  • R&D specialists with a strong focus on big data as a strategic line of development
  • Advertising, retail, e-commerce, telecom, media, software industry experts

Latest request

Offering 3: Industries reshaped by big data

Top industry requests covered by big data powers

  • I’m devastated by my clients’ quick move to the competitors without even a backward glance to personalized movie recommendation packages.
  • How to find the right data-driven way to win our audience over by the highly segmented marketing campaigns focusing on the individual level of customization?
  • More subscription packages needed. Will big data analytics help to offer right pricing tiers?

Top industry requests covered by big data powers

  • Legislation dictates the adoption of first-party strategies, as sharing user data among partners is strictly prohibited. What data management solutions should we consider?
  • We’re chasing more effective campaigns for the right target audiences. How can big data solutions help with customer hyper-segmentation?
  • Which approaches to big data analytics should we use to combat online advertising fraud, which costs us more and more money each year?

Top industry requests covered by big data powers

  • Is there a chance to predict shopping trends and stay ahead of the game with our eCommerce offering?
  • How to automate customer data management with custom big data solutions? It seems it’s getting more and more challenging to get the insights from the diverse customer data sources.
  • Getting insights into consumer spending habits would help us personalize promotions and offer tailored price tiers.
  • We need to anticipate the reasons why even the regular buyers give up our services twice as frequently as in the previous quarter.

Top industry requests covered by big data powers

  • Any scenarios of applying big data services for the supply chain costs optimization?
  • Will buyer behavior analysis and customer purchasing patterns help us predict the busiest shopping days to get ready for them?
  • It’s getting tougher to stay profitable amid the growing competition. Can inventory analytics help us identify best performing items, product categories and SKUs?
  • With terabytes of customer and product data scattered across databases, we are unable to assess business operations at our individual stores.
  • There’s a lack of custom reports providing our managers instant access to data to make better decisions.

Top industry requests covered by big data powers

  • We are moving towards value-based care but connecting the health data dots across the full care journey is an uphill battle. Can big data analytics help?
  • It’s difficult to assess our clinical performance let alone trim inefficiencies without in-depth data analysis and granular reporting.
  • Working under stress as healthcare professionals often do, we need access to accurate data-driven insights in real time, on-the-go to support clinical decision-making.

Latest request

Big data services: Tools and tech we use to handle your requests

Big data ecosystems

Apache Hadoop • Apache Spark

Cloud platforms and tools

AWS • Google Cloud Platform • Cloudera • Snowflake Data Cloud

Data visualization tools

Tableau • Qlik • Looker • Microsoft Power BI

Programming skills

Python • Java • Scala