Transform Big Data into Knowledge & Actionable Insights

Data is a valuable raw material for organizations when it is correctly processed and evaluated. In today’s time, with the emergence of big data and digital transformation, data-driven organizations rely entirely on data analysis to make well informed and quick decisions.

Data Analytics is a process of using data to drive business strategy. At Sigma, our data analytics experts help businesses to overcome all the challenges by providing quality data analytics services. Our team of data scientists finds and processes data from multiple data sources to assemble a clean set of data.

Our Data Analytics Services

  1. Digital Analytics:
    It is the process of analyzing digital data from various sources like mobile applications or websites. We provide digital analytics services to our clients to help them examine their customers’ behavior and translate it into actionable business data.
  2. Advanced Analytics:
    To help businesses make better decisions, we provide advanced analytics services. Advanced Analytics provides new insights into the data and uses data mining, data visualization, pattern matching, & predictive modeling tools to produce analyses.
  3. Data Services:
    We help you to establish your data warehouse, examine complex data reports, and extract value from abundant data for making smart business decisions.
  4. Data Visualization:
    The process of collecting data and placing it into a visual context is a data visualization. Data visualization makes it easier to detect patterns and trends of the customers. With the help of our data visualization service, our customers can quickly understand complex patterns in data sets.
  5. Big Data Consultancy:
    At Sigma, we help our clients in improving their decision-making capabilities with our data analytics services. By using our big data consultancy services, organizations can improve their profitability, business growth, and service quality.
  6. Data Quality Assurance:
    We provide data quality assurance to help our customers keep them safe from calamitous effects that low-quality data can cause. Our team develops and implements data governance procedures to optimize data quality assurance.
  7. Business Intelligence:
    At Sigma, We help our clients to optimize their capabilities to leverage various types of data. Our business intelligence services include development and consulting, data visualization, and testing.
  8. Data Analytics Outsourcing:
    We have clients who share their data with us, and we help them out by taking care of their data quality management, data analysis, & infrastructure.

Our Data Analytics Consultation Process

To improve your data analysis skills and simplify your decisions, we execute these steps.

 

 

Define Business Needs:

First of all, we gather all the information about the organization and collect all the data available. To process the data and help our clients improve their effectiveness and efficiency, we figure out our client’s business needs.

 

Data Governance Strategy:

After figuring out the business needs, we prepare the business strategy. Our team builds a model for managing the data of an organization. We define a set of procedures and plan to execute the processes.

 

Design & Implementation of Data Lake:

Data Lake solutions by Sigma allow clients to gain insights from large, complex and variety of data sets which enables data developers, business analysts, and data scientists to access data with their choice of analytic frameworks and tools.

 

Data Processing:

Our team of data scientists helps the customers with data processing by extracting the data, transforming the data, and loading the data to view business data.

 

Data Visualization:

We create a graphical representation of our client’s information and data. Our data visualization service helps our customers to understand trends, outliers, and patterns in data.

 

Training session:

Our team provides a training session for the customers, which makes it easy for them to understand the system.

Tools and Technologies We Use

Here is the list of the tools and technologies we use to provide you the best data analytics service:

  • ELK Stack

    The ELK Stack consists of three open-source products, Elasticsearch, Logstash, and Kibana. The ELK Stack allows the user to take data from any source, analyze it, and visualize it.

  • SAS

    SAS is an integrated system of software that allows you to access data across multiple sources, perform sophisticated analyses, and deliver the information across your organization.

  • R Programming

    It is a programming language and the environment for statistical computing.

  • Tableau Public

    Tableau Public is a service that lets you publish interactive data visualizations to the web.

  • Python

    Python is a popular, high-level, interpreted programming language.

  • Apache Spark

    It is an open-source distributed general-purpose cluster-computing framework.

  • Excel

    It is one of the top tools for data analysis, and its in-built pivot tables feature makes Excel the most popular analytic tool.

  • RapidMiner

    RapidMiner is a data science platform that provides an integrated environment for data preparation, text mining, machine learning, predictive analytics, and deep learning.

  • KNIME

    KNIME stands for Konstanz Information Miner, which is an open-source data analytics, integration, and reporting platform.

  • QlikView

    It is a software that provides self-service BI for all business users in organizations.

  • Splunk

    It captures, indexes, and correlates real-time data in a searchable repository.

Benefits Of Data Analytics

Data analytics helps organizations mobilize their data and use it to identify new opportunities.

  1. Better Decision Making:

    Data Analytics helps organizations in gathering information to speed up business activities.

  2. Cost Reduction:

    There are big data technologies such as cloud-based analytics and Hadoop that bring significant cost advantages when it comes to storing large amounts of data.

  3. Improved Performance:

    With the help of data analytics services, we can see a change in the traditional approaches to performance and delivery. Data Analytics helps multiple organizations to anticipate their capacity to meet the client’s requests.

  4. Good and Services:

    With the ability to measure customer needs through analytics comes the power to give customers what they want. Therefore, many businesses implement data analytics in their product or service development.

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Featured Case studies

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Orderhive

Orderhive is a multichannel inventory and order management system that provides end to end solutions to multichannel sellers.

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Byju’s

Byju's, a learning app offers watch-and-learn videos, interactive simulations, rich animations, and original content through its app, which makes e-learning a lot more fun.

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Hik-vision

The client is a Wahington, DC-based owns a chain of shopping malls that draws customers attention with its world-class services and various retails shops franchises sell impressive products.

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Without big data analytics, companies are blind and deaf.

Geoffrey Moore