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.

COMPANIES WE PARTNERED WITH

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

THE GENERAL VISION OF BIG DATA SOLUTIONS AND HIGHLOAD

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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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.

Pros and Cons of Big Data: Solutions To Empower Your Business

Digital tracking has become common in everyday life. Enterprises have become aware of the pros and cons of big data and use them for industry needs. People answer all sorts of questions on their smartphone, like “What trendy things are going on sale,” “What’s happening in the world?”. They can decide to buy a Halloween costume, or make an appointment with a doctor. Big corporations, middle-size businesses, and commercial institutions come across challenges, such as big data validation, security, and solution development. Let’s explore some of these in facts and numbers.

#Article #HealthTech #Logistics #Retail & eCommerce #Big Data & Highload

How Artificial Intelligence, Machine Learning, and Big Data Will Shape Retail Forever

So far, almost half of all retailers have noticed that artificial intelligence (AI) and machine learning save costs in retailing. In addition, PointSource has detected that the presence of AI leads half of the consumers to make more frequent purchases and 34% of them are ready to spend more money.

#Article #Retail & eCommerce #Big Data & Highload #Machine Learning

How Big Data Enhances Banking And Financial Systems

Concerning big data in banking and financial systems, Financial Times provides a smart definition about both systems as a data store. They record people who have money, the transactions used to handle it, and the rules governing service provision. And Zachary Townsend, Co-founder of Standard Treasury, San Francisco, US, commented for FT that the banking industry budgets and organization headcounts could be optimized by fintech technologies to reduce operational costs, improve ROI, and raise financial system efficiency. Juniper Research estimated that more than 2 billion users would access their bank account through their devices by the end of 2018. To serve huge numbers of clients faster and more effectively, banks must turn to fintech software development companies with expertise in big data solutions. Big data is a complicated issue, but it simplifies everything: from filtering the necessary information based on the client’s name to answering the customer’s question more quickly. Big data in banking helps to perform financial processes more smoothly. Let’s see how it works.

#Article #FinTech #Big Data & Highload

NEED HELP WITH YOUR BIG DATA PROJECT?

If you are looking for a software development company with expertise in delivering big data solutions, we are ready to help. Send us your requirements so that we can prepare the best proposal for your needs.