Real Time Analytics

Leverage Real-Time Analytics to Stimulate The Performance of Your Business

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Real Time Analytics Solutions

Real-time analytics is the process in which data is prepared and measured very quickly in the database. Real-time analytics are used in financial institutions to make decisions quickly to extend credit or not and customer relationship management (CRM). It also increases both customer satisfaction and h interaction. Enable business to detect fraud at the point of sale.

The main aim of real-time analytic is to allow the business to understand the data faster as it enters into the database. To make your task comprehensive and efficient, Polosoft incorporates any data, structure, format, and source to give the best real-time analytical solutions.

Leverage Real-time Big Data Analytics Services

Energetic Customer Analytics Insights and Analytics Solutions that Accelerate Business Growth.

Real-Time Data Consulting

Real-Time Data Consulting

We provide real-time data consultation to analyze data effectively. Our team of experts guides you in implementing technology and strategy by analyzing your business needs.

Real-Time Architecture and Implementation

Real-Time Architecture and Implementation

We use systems, protocols, and technology to collect, store and analyze data and help businesses use data in a unified way. We build real-time data warehouse architecture to help companies to access and interact by providing customized solutions.

Real-Time Data Integration & Processing

Real-Time Data Integration & Processing

We consolidate data from various sources for a unified view of data in one system changes it will automatically update others. Real-time processing to boost access and improve the operation of hardware, software, or devices.

Real-time Performance Tuning

Real-time Performance Tuning

We re-optimize data systems, software, hardware to improve the performance and ensure the database runs efficiently. We work toward optimal database performance to support system function and your customer satisfaction.

Real-Time Analysis Platform

Real-Time Analysis Platform

Integrate a Real-time analysis platform to provide a transparent view for companies. It extracts valuable information, trends, and measures data from the brand views in real-time to make the best use of data.

Top Benefits of Real-Time Data Analytics

  • Help organizations to respond to such errors more quickly
  • Increase the operational efficiency of your company
  • Get alerts whenever competitors are changing the strategy.
  • Detect the frauds at an early stage.
  • Help you to gain more insights into your sales.
  • Give you information about the recent trends in the market to make better decisions.
Top Benefits of Real-Time Data Analytics
Technology Stacks for Real-time Data Analytics

Technology Stacks for Real-time Data Analytics

We use various technology stacks to integrate real-time data integration

  • Apache Storm
  • Apache Drill
  • SAP HANA
  • MEMSQL
  • TIBCO Stream base
  • FLINK
  • Talend
  • Druid
  • Spotfire

Real-Data Analytics Implementation Challenges For Enterprises.

We develop a framework to predict future real-time customer behaviour and movement across segments.

Data quality

Data quality

Customer transaction information are the major challenges while entering into real-time at various portals must be updated and accurate. Integration of real-time analytics provides the quality data to find and update customer information within a real-time database.

Data not information-rich

Data not information-rich

A large number of data collected in a database becomes data-rich and information poor. We deploy real-time analytics to achieve information-rich from databases to help you make better decisions.

Real-time event transfer is complex

Real-time event transfer is complex

The big challenge is to transfer data events in real-time to process. To reduce network traffic and process the time while persevering the accuracy and optimizing the decision making needed event filtering and aggregation.

Automated v/s human decision making

Automated v/s human decision making

Using manual decision may delay making the right decision. We use AI for making perfect decisions in the algorithms that interpret the outputs.

Polosoft Technologies makes it easy for organizations that deploy many applications in a hybrid cloud environment to leverage real-time big data and analytics. Please email us.

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