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Customer Analytics Solutions and Consulting Services

Analytics Solutions for Better Customer Experience

Customer Analytics Services help enterprises target customers using personalized product recommendations, predict customer behavior using predictive modeling, and 360-degree Customer View to better understand customers for empowering organizations with Churn Management and actionable Prediction.

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Building Recommendation Engines

Enable data filtering by using ML algorithms to recommend the most relevant data for a given user or customer.

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Micro-Segmentation

Better understand your customer base and divide them into smaller groups to accelerate revenue growth.

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Behavioral Analytics

Analytics for actionable insights to improve user experience for building and nurturing a community of loyal customers.

Intelligence for Improved Customer Experience

Leveraging the actionable insights, the organization will get from customer intelligence to increase brand loyalty and make the business ready to face any change in the industry.

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Customer Intelligence Solutions for Enterprises

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Recommendation Engine

Leveraging Predictive Analytics based capabilities and modeling techniques for forecasting the future behavior of customers.

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Creating a 360-degree customer view helps in Customer alignment, drives Customer Intelligence and Customer Loyalty.

Solution offerings to segment customers into small groups and manage them on actual behaviors, which further helps to increase engagement.

Customer churn and loyalty analysis help you identify customers who are not satisfied. Initial identification of these churn drivers can help companies take proactive action and build retention approaches to improve customer loyalty.

Enabling Intelligent customer experience with Real-time Insight delivery and personalized experience throghout the Journey.

Cloud Based Data Analytics Solutions

Building efficient and Scalable solutions for huge workloads with Analytical Capabilities.

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Google Analytics Solutions

Enable data-driven decisions with Google Cloud Datalab and Google Studio to analyze data at any scale and in a cost-effective way.

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AWS Analytics Solutions

Leverage real-time business insights with Amazon Athena, Amazon EMR and Amazon Kinesis to enable high performance query processing on data sets.

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Azure Analytics Solutions

Building focused solutions with Azure Cloud with Azure Stream Analytics and HDInsight for real-time data integration and management.

How to Use Data Analytics to Unlock Growth?

Customer Engagement is the key for an Enterprise Success

Analytics Consulting Services to improve Customer Acquisition and Retention

Enterprises can use data analytics to better understand consumer behavior and preferences, identify audiences, and measure and optimize acquisition campaigns.

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Enterprise Technology

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Banking and Finance Sector

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Education

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Transportation

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Retail

Key Enablers

Enablers for Accelerating Digital Transformation

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Enterprise AI

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Here are our Recommendations...

Generative AI Moving Towards Healthcare Generative AI, or generative adversarial networks (GANs), is artificial intelligence capable of creating new content, such as images, music, and text. It uses...

What is Generative ‘AI’ Generative AI, also known as Generative Adversarial Networks (GANs), is a subset of artificial intelligence (AI) that focuses on generating new and original data based on...

Introduction Generative Artificial Intelligence (AI) has revolutionized various fields, including art, music, and content generation. With the ability to create original and realistic outputs,...

Overview Azure Data Factory and Apache Airflow Data-driven decision-making allows organizations to take strategic decisions and actions that align with their objectives and goal at the right time....

How Angular compiles and its performance? The application can be compiled using two following commands:-

Introduction to Metadata Management The most crucial process for a successful digital initiative plan is metadata management. It is currently essential for managing the information assets in an...

Introduction to Azure Digital Twin Platform When we talk about the Internet of Things solutions, think of devices like a windmill, which consists of sensors that generate pressure or temperature...

Machine Learning Model Operationalization Today Businesses are searching for ways to put Machine Learning in their arsenal to improve their decision-making. But in reality, it has been seen while...

What is Log Analysis? Log analysis is the method of evaluating computer-generated event logs to proactively discover faults, security hazards, and other issues. Log analysis can also be applied more...

Getting Started with IaC Infrastructure as Code (IaC) tools that promote the best practices are necessary to make the process of building and configuring the infrastructure more competitive and...

Overview of Test Driven Development (TDD) Test Driven Development (TDD) is a great approach for software development. TDD is nothing but the development of tests before adding a feature in code....

What is Monolith? A monolith application is a deployment setup where a single deployment unit handles various business activities. Such applications are good to start with and develop features with,...

Introduction to Business Intelligence Today's businesses increasingly rely on software to perform at peak efficiency and maximize revenue. Business Intelligence (BI) plays a key role in helping...

Introduction to Graph Analytics and Knowledge Graph Graph analytics is a new field of data analytics that helps businesses leverage their model by adopting a variety of its algorithms to identify the...

Introduction to Streaming Data Visualization Streaming Data Visualization gives users Real-Time Data Analytics to see the trends and patterns in the data to take action rapidly. It is the control of...

Overview of Serverless Computing In the past, when developers wanted to host any of their websites, there was the need for a physical data center where their server would run, which is very bulky and...

Introduction to Edge Computing with 5G Thanks to the Internet of Things (IoT), more and more devices are connected, including homes, heating systems, fitness trackers, and vehicles. Edge computing...

What is Java and Kotlin? Java is the native language used by Android, applications that communicate with the operating system and directly use the hardware uses it. This language allows the creation...

Overview In the interlinked world of today, when digital technologies penetrate every part of our lives, trust has become a crucial element in determining how we experience the digital world. Users...

What is Zero trust cyber-security? Zero Trust is a cybersecurity strategy that secures an organization by removing implicit trust and continuously validating every stage of digital interaction to...

What is Machine Learning? Machine learning is an area of computer science that allows computers to learn without having to be programmed directly. Machine learning is one of the most fascinating...

Introduction to Cloud Native Applications Applications that are developed and deployed using cloud-based technologies are known as Cloud-Native Applications. They are hosted and managed by the cloud....

What is Cloud Native Observability? Control theory defines "observability" as the ability to determine the internal states and, accordingly, the behavior of a system only by examining its inputs and...

What is Cloud Governance? It is a set of rules. It applies specific policies or principles to the use of computing services. This model aims to secure applications and data even if located distantly....

Introduction to Functional Specification Document It's no secret that you need to have clearly defined processes with frequent checkpoints and checklists for a project to succeed. But what does this...

What is Incident Management? Incident management is a process that helps companies to understand, respond to, and recover from incidents. The software is designed to manage and monitor incidents that...

Introduction to Product Management Roadmap As a product manager, you might be asked to create a roadmap. This document can take many forms, but it's essentially a plan that details the various stages...

Overview of Storage Class in Kubernetes To understand the concept of storage class in kubernetes, first, we need to understand the volume concept in Kubernetes. In simple terms, kubernetes volume is...

Introduction to Kubernetes We are rapidly moving towards the age of cloud computing, where every organization, small or big, has or wants its resources and data to be available, no matter what region...

What is Kubernetes Operators? Kubernetes is growing day by day, and now every organization is keen to adopt the containerization technology and it's gone so for that it can quickly deploy the ...

Digital Transformation Enablers

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Customer Analytics Insights

Text Analytics for Improving Customer Experience

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Text Analytics for Improving Customer Experience

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Customer Journey Mapping Process and Its Benefits

Customer Journey Mapping Process and Its Benefits

Overview of Predictive Analytics Tools and Best Practices

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Overview of Predictive Analytics Tools and Best Practices

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Data Management

Visualization Solution

Graph Analytics

DataOps

Data Management

Data Management helps Enterprises to Eliminate poor quality data, Improved decision, enabling Superior regulatory compliance.

Visualization Solution

Visualization provides a quick, easy way to convey concepts and summarize and present large data in easy-to-understand and straightforward displays, which enables readers insightful information.

Graph analytics refers to a set of technologies that use algorithms to help analysts analyze the connections between graph database entries.

DataOps

DataOps, aka Data Operations, combines people, processes, and products that enable consistent, automated, and secure data management.