DIGITAL
Digital Transformation for Data-Intensive Businesses

Digital Transformation Through Data Diligence

Digital transformation can efficiently and seamlessly drive productivity and sales for organizations. With the advancements in the field of Artificial Intelligence and IoT, businesses across industries can benefit a great deal to enhance their customer experience strategy.

To help customers benefit from these advancements, Phygital Insights provides a fleet of Digital solutions which enable the smart usage of data and help businesses of all sizes to be future-ready.

Go Digital

Our Digital Solutions

Transforming data into key business insights

Most companies store their data in multiple formats across databases, Excel files, text files, etc, where data analysis becomes a cumbersome process across data sources. At Phygital Insights, we transform the existing data into a format which can be used by downstream data scientists for building analytics. Our data transformation pipelines include Data Ingestion, Data Processing, Data Storage, and Data Access.

Transform your data

Our Expertise

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Consulting

* Data Consolidation
* Strategy Analytics
* Data to Cloud Strategy

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Designing

* Data Pipeline for Analytics
* Data Lake & Data Warehouse
* Software Tools and Hardware Set Up

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Implementing

* Deployment of Analytics & Infrastructure in Cloud or On-Premise

Sourcing business intelligence from data sets

Data is growing and getting diverse by the day. Without proper tools and expertise, businesses will find it challenging to analyze trends, patterns, and information extracted from the data, losing out on intelligence and competitive advantage. Our data analytics team are capable of identifying gaps and potential risks that hamper business growth. With a technical feasibility study, our data experts decide on the tools and technology required to help source, extract, sort, and analyze data into meaningful business intelligence.

Analytics Development

  • Descriptive Analytics
  • Prescriptive Analytics
  • Predictive Analytics

Our Process

Data-Analytics-process

Building a robust analytics framework

Businesses store enormous data and have a vast scope to deploy analytics. Until the analytics are operationalized, enterprises are unable to reap the benefits of analytics. Operationalizing Analytics includes managing data, developing and executing many predictive analytic models and deploying the models into a production system, which will require an industrial-grade reliable and robust framework. As part of our operationalizing analytics process, we adopt frameworks suitable to your needs and provide solutions that can have a long-term impact on your business.

Build your framework

Our Methods

Operationalizing-Database

On Database

* Using stored procedures

Operationalizing-Mob-App

Applications

* Mobile, Web, ERP

Data-Visualization-Tools

Data Visualization Tools

* Custom UI, Tableau, Qlik, Power BI

Hadoop

Hadoop Ecosystem

* Major components like Hadoop File System, Hive, Pig, HBase, Flume, Sqoop , Kafka, Spark, Storm