Data Analytics – indusvalley

Using Data to Discover Business Insights and Deliver Speed, Agility & Efficiency

For enterprises and ISVs, big data analytics offers the opportunity to gather and analyze large amounts of data in order to uncover insights that help the business stay agile and competitive. With machine learning, organizations can realize additional value through continuous learning as well as automation and business optimization. Indus Valley can help, with expertise in the leading-edge Big Data & Analytics technologies and platforms. We can both nimbly execute prototypes and scale the solutions that work – to get you to value faster.

Explore Our Big Data And Analytics Offerings

Why Indus Valley for Big Data and Analytics

Problem Solving Mindset

At Indus Valley we deliver actionable solutions, not just skillsets. We have a true focus on the problem you’re trying to solve and we understand there is not a one-size solution to every challenge. At the foundation of our problem-solving mindset is a solution-oriented culture and teams of great technical talent – experienced engineers and data scientists with in-depth expertise across a broad variety of toolkits and technologies

Proof of Concept Approach with Scalability

We take a proof of concept approach to solving your business challenges. That enables us to iterate to the most effective solution and enables you to expend resources most efficiently. At the same time, we are able to quickly scale the solutions that work. You don’t have to take our word that we can develop the solution to your challenge; give us the challenge and let us prove to you we can build the solution.

Product Engineering Pedigree

We have the experience to identify the right technology and the technical expertise to build, integrate and scale it to deliver an end-to-end solution to your business challenge. Having solved big data challenges for many clients, we have built our own IP; these technologies serve as accelerators, enabling us to solve your challenges more efficiently.

Our Big Data & Analytics Work

For Fortune 100 Global Bank, Big Data Solution for Reporting and Analytics on Credit Card Data Processing Ensures Regulatory Compliance

For Fortune 100 Networking Giant, Migration of Traditional ETL Solution to Hadoop Enables Faster Decision Making and Reduces Costs

For Telco, Prediction Modeling Improves Marketing Based on Consumer Behavior and Marketing Intelligence

For Fortune 100 Global Bank, Hybrid Data Warehouse/Data Lake Enables Reporting and Analytics Platform Along with Data Storage, Archival and Backup

Indus Valley – Advanced Data Analytics & Big data solutions

What is Big data problem and How it is impacting today’s business world.

Big data impacts everything around us today, and it is being used to help us understand and solve world problems.

Most companies are collecting an ever-increasing amount of data but often lack the resources or expertise to use it effectively to support their business goals. Every business facing fierce competition and clients have become more demanding – they expect business processes to be faster, quality of the offerings to be superior and priced lower. Consequently, the quantum of data stored is at an all-time high as retailers generate large volumes of data from various customer touch points across channels. According to Gartner, the volume of data is set to grow 800% over the next five years and 80% of it will reside as unstructured data.

Big Data Analytics is the inevitable next step in the evolution of the customers – leveraging granular details from data, in making better decisions. Granular level data includes unstructured data from sensors, devices, third parties, web applications, and social media. By using advanced analytics techniques on this kind of data, the customers can make the smartest business decisions possible.

The complexity of a Big Data solution can range from a simple BI dashboard creation with minimum data integration to complex turnkey Big Data Suite implementation. Creating a successful analytics strategy requires assessing your unique business challenges, matching those challenges with relevant data and resources, and establishing processes that grow your capabilities.

How Can Indus Valley solve it?

Indus Valley team has found that having an “analytics culture” is one of the strongest indicators of future analytics success and developing an analytics strategy is an active process that plays a key role in building an effective, data-driven culture.

With over 15 years of experience in analytics, Indus Valley has the cross-industry expertise to deliver a high-level, topographical review of analytics culture, capacity, and practice.

Our Passion – We believe in helping organizations resolve business challenges by making better decisions with deeper and wider insights (from data) from Big Data Solutions/Platforms

Total Commitment – We believe in owning the solution that we propose to our customers. This includes any technical challenges that is faced along the way. Big Data is a journey, in which we will guide and support our customer in the Big Data Journey they are on.

Vision on Data Management – Data, being the key ingredient in most Big Data Analytics Solutions, suggests/determines how an organization should use data to drive its business to differential themselves from their competition

Our Big Data – Advanced Analytics solutions and techniques combined with deep domain expertise assists in solving dynamic & complex business challenges across Operational, Tactical and Strategic levels. Our focus on your business builds a deep understanding of the context in which you operate.

We prescribe a four step Big data landscape i.e. Capture, Store, Process and analyze.

Developing an analytics strategy is a complex process that yields many surprising, company-wide benefits. There are many levels of analytics and modeling technologies and it is important to create analytics strategies that are customized to an organization’s unique business challenges, available skills, data infrastructure, and analytics maturity based on the following elements:

Vision & Mission
Concept of Operations
Business Model
Performance and Return on Investment
Model Development Process
Project Intake Process
Organizational Structures
Roles & Responsibilities and Oversight
Program Workflow
Communication, Marketing and Training
Key Short- and Long-Term Goals

Indus Valley Analytics assessment & Roadmap consulting

we will work collaboratively to determine an agenda that will provide the greatest value. Some example focuses areas include:

Understanding strategic business goals and current analytics initiatives.,/li>
Assessing current analytics capabilities and how to build an analytics team.
Defining key performance metrics and baseline goals for analytics
Discussing potential projects that will provide early momentum and return on investment.
Exploring data sources that may be leveraged for strategic analytics projects.

Our goals of assessment

Determine the analytic readiness and maturity of the organization as a whole and the Analyticsteam specifically.
Focus on the convergence of data, technology, and people needed for success with predictiveanalytics.
Provide a roadmap with actionable advice for improving the value of analytics within an organization.

Move Beyond Processing & Toward an Understanding of Data

Big data has captured the imagination of businesses and customer behavior has driven the collection of increasingly large amounts of information in all forms. Following the digital revolution and data revolution, we are beginning to see an insights revolution. Insights driven enterprises that truly gain competitive advantage from data are showing how advanced analytics practices can help data become strategically relevant across the business. Indus Valley provides that cognitive approach to data analysis. From data preparation to predictive analysis, our job is to deliver the building blocks for the predictive models that lie within your data. Your job is to turn the rich insights into action.

Our Cognitive Computing Offerings

Business Analytics Consulting

We develop and implement domain-specific analytics (e.g., financial services, healthcare) and data-driven product analytics solutions using data mining and model building. We evaluate analytics models for actionable business strategies.

Data Preparation

Through data ingestion, cleansing, updating, organizing and integrating we eliminate conflicts and redundancies – so the data is appropriate and valuable downstream. We deliver a syntactic and semantic understanding of data, leveraging auto-discovery, profiling and data visualization as well as data blending, wrangling and munging as appropriate

Machine Learning Model Creation & Implementation

Our data science as a service approach gives you improved data quality and the ability to quickly deliver on business queries. We apply machine learning models on both big data and conventional data.

Predictive Analytics

We create tools to help you move beyond knowing what has happened to discover insights into what might happen in the future. So you can reduce risk, optimize interactions with customers and identify opportunities for growth

Build Data Confidence through Real Intelligence in Real-time

Big data continues to be a disrupting influence on businesses. The massive volumes of data from connected devices and the numerous tracking points that flood businesses all must be combed through for analysis. Accurate, valid and up-to-date data provides a clear picture of your company’s day-to-day operations and insight into its potential. Our job is to provide the BI tools and processes to make sure you are getting the most out of your data. Your job is to act on the insights delivered.

Our BI Offerings

Cloud BI

We work with clients from conception to completion using cloud-based business intelligence tools offering the agility and accessibility of the cloud. We leverage the cloud for data mining, text mining and online analytical processing (OLAP); reporting and dashboarding; data exploration, visualization and storytelling; and embedded real-time analytics.

Mobile BI

Our full complement of BI solutions is available on mobile devices for the overall purpose of increasing effective decision-making and increasing client performance. Our mobile BI offerings include management of complex domain data structures (hierarchical data, bridge tables, etc.); dynamic data writing to databases to access dynamic real-time dashboards; write-back and transaction processing, ad-hoc reporting and real time business analytics.

Data Warehousing & ETL

Through ETL – extraction, transformation and loading – we aggregate structured data from diverse sources so it can be compared and analyzed and delivered to users for greater business intelligence. Specific offerings include migration, implementation of ETL and data warehouses, and data warehouse solutions on RDBMS and big data systems.

Enterprise Data Management & Governance

Our engineers make sure that clients are able to define, integrate and retrieve data within a sound governance program. Our data management and governance systems provide a clear foundation for business initiatives. Specific offerings include Master Data Management, Metadata Management and a Compliance Data Quality Management Solution

Report Migration

Migration of reports from one framework to another requires knowledge, understanding and experience of both frameworks. Our experienced team of engineers is able to smooth the process of report migration. Our report migration offerings include accelerated migration to BI tools such as Qlik by using utility to scan report metadata, data model and data dictionary for data sources, and data reconciliation between existing and converted reports.

BI Tools Custom Visualization

We integrate BI tools such as MicroStrategy, Qlik and Tableau with big data using an in-memory computing paradigm to deliver easy-to-use data storage and visualization tools, helping you make the most of your data. Our custom BI visualization offerings include domain-specific custom visualization on BI tools.

Build Data Confidence through Real Intelligence in Real-time

The continuous streams of data generated by your business represent challenges and opportunities. Advanced visualization keeps the data fire hose from becoming chaotic. Pulling together the information from your wide range of sources and creating a visible framework for understanding assures that your data can be turned into focused insights. You can’t act on what you can’t see. That’s where Indus Valley comes in. Our visualization turns complex data into understandable graphs and charts that effectively convey the ideas behind the data.

Our BI Offerings

Visualization Consulting

Our visualization team performs an organization-wide assessment of your existing data and business requirements in order to recommend visualization strategies. We create a framework to integrate BI tools with big data in order to extract the most intelligence from any given data set

Rapid Prototyping & Visualizations

BI apps and dashboards allow you to communicate your metrics across the organization. From proof of concept to full development, our developers create visualization tools that help you align your KPIs with your business goals.

Visual Analysis Design & Development

With a design team dedicated to UI/UX and mobile visualization, we create clear and engaging analytical applications and visual stories to communicate complex information in a simplified way.