BIG DATA CONSULTING SERVICES

Build Big Data Solutions with Innovecs

Big data consulting services can be an enormous benefit to your big data strategy, or they can be used to build a roadmap to update your solution. Analyze and visualize data, discover patterns, propose analytical models, make informed decisions, enhance analytics, and minimize risks.

CASES

BIG DATA DEVELOPMENT FOR PREDICTIONS

Innovecs has created a team of engineers responsible for building a big data solution from scratch for the ad tech industry. By utilizing AdWords data, this solution can predict whether a certain user will click on the exact ad block. Innovecs has tailored the analytics module and parametrized data visualization.

BIG DATA CONSULTING TO SEGMENT DATA

As a big data consultant, Innovecs helped structure the data coming from different sources to automate the creation of video ads according to various target audiences’ characteristics. By effectively harnessing big data, the solution not only edits movies but analyzes the ads impressions effectiveness as well.

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SUBEXPERTISE
BIG DATA SOLUTIONS
As a big data consulting and application development company, Innovecs helps design high load architectures that optimize data processing. Innovecs has created solutions that provide data mapping, the aggregation of multiple data sources, efficient data splitting, and much more.

DATA ENRICHMENT

Automate merging of third-party data with your existing database

HIGHLOAD

Build architecture solutions capable of processing massive data spikes

DATA STORAGE

Split your data storage into two parts, historical and operational

DATA LAKE DEVELOPMENT

Benefit from a scalable and centralized repository for data storage

DATA VISUALIZATION

Make informed decisions with the help of structured and visualized data

PRIMARY TECHNOLOGIES WE USE
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THE GENERAL VISION OF BIG DATA SOLUTIONS AND HIGHLOAD

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Highload as an Entry Point of Big Data Enrichment

Highload refers to the situation when a variety of microservices processes thousands of simultaneous transactions. Usually, this involves industries, such as trading, e-commerce, logistics, or banking. During this process, a hefty volume of data is generated and must be stored for its further usage.

Big data consulting services in regards to highload can offer suggestions on how to speed up the system reaction and enhance capabilities of serving massive user spikes. Big data solution providers recommend architecture solutions that allow managing the speed of data processing regardless of data volume.

Big Data Services to Structure Data Delivery, Storage, and Search

Efficient processing of transactions is a keystone of effective data analysis.

For systems where data volume grows exponentially, data auditing and verification become impossible without a well-designed solution.

Such a solution will allow cleaning and aggregating data coming from different sources, splitting it into historical and operational for better data management, and organization of a repository to boost data searchability.

Big data consulting services advice on all these topics to make data structured, identified, traceable, and rule obeyed.

Big Data Solutions: Visualization, Modelling, and Reporting

When data processing is already organized, companies benefit from the convenient usage of this information. Innovecs analyzes what data to use for this goal and how to display it most conveniently.

Visualization, as well as reporting on the actual data, allows for creating easy-to-use dashboards and analytical tools that help companies make informed solutions.

Data modeling provides enterprises with predictions built on top of a company’s historical data. Moreover, if it is used with machine learning technology, this match generates more opportunities for effective data adoption.

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LOOKING FOR BIG DATA CONSULTING?

If you need to structure, manage, and visualize your data, Innovecs’ team will help. We will advise you on how to capture, store, and process your data, streamline all the operations and prepare data for its further analysis.

GENERAL OVERVIEW

Why Entrust Big Data Consulting Services to Innovecs?

Approach to Big Data Development

Innovecs begins highload projects with a Discovery stage. A client provides Innovecs’ team with its goal and current vision. Then Innovecs provides a technical audit of data-heavy business processes and their management.

Based on this research, Innovecs begins big data consulting services. We dot our vision of the digital transformation journey and present a sustainable and easy-to-expand architecture with easy access to operating data.

Lastly, we provide application development for big data, to deliver an effective ready-to-use solution that meets our client’s requirements.

Proven Track Record in Big Data Outsourcing

Innovecs is vastly experienced in big data consulting services. We have worked with companies of different sizes, from startups to enterprises.

Innovecs has delivered projects focusing on database optimization, data migration, deployment of cluster monitoring, balancing between data segmentation, archiving, and storage subject to speed requirements. Some projects included the adoption of machine learning technology on top of big data.

Also, we help companies to choose a solution based on either cloud or physical servers. The right choice will result in optimal software performance as well as the proper management of resources and costs.

Post-release Support of the Big Data Solution

After releasing the project, Innovecs helps monitor whether data processing lives up to the client’s expectations. We help build the system of analytics with visualized dashboards to be alerted immediately when an issue arises.

Post-release support refers to the Drive stage and helps companies in their growth. In other words, correctly established analytics allows for growth points identification. For instance, if thousands of users work with one platform, optimization of one operation by even 0.1s can contribute the system effectiveness considerably.

As a big data application development company, Innovecs will help with the matching and mapping of data coming from different sources into one well-structured data set.

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