Big data pitfalls businesses face today

Familiar with any of these big data development challenges? Keep your own in mind and can’t move forward?

Oxagile is delighted to become your big data companion and join forces to meet all project deliverables.

Seeking the right tools

“We’re getting lost in an abundance of data integration tools. The thoughts like, “How to bring them together, overcome scalability hurdles, and select only those accelerating high performance?” are constantly on our minds.”

A myriad of reports is pressing

“We’re just buried under millions of reports. It seems we’ll never unravel the tangle of the enterprise reporting systems. A unified custom BI solution wanted! This is the only positive scenario to stitch the reports together.”

More big data expertise required

“A new day brings new data aggregation and storage issues. The Snowflake data platform is likely to get us out of troubles. I guess it’s time to engage a big data service provider and their data pipeline specialists.”

Data migration needed ASAP

“Processing 10 billion records per day is not the limit for our product. Data volumes are growing exponentially, and dealing with scalability limitations remains an open question. The sooner we switch from heavy third-party solutions to an in-house option, the higher chances are for keeping data quality and security high.”

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 partner, we’ll show you the ways to do it.

Big data project development: 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)

Big data product development: how we contribute to growth

  • Providing 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 3 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 3 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 3 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.
  • We need to anticipate the reasons why even the regular buyers give up our services twice as frequently as in the previous quarter.

Top 3 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?
  • There’s a lack of custom reports providing our managers instant access to data to make better decisions.

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