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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.
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.
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.
Here is the list of the tools and technologies we use to provide you the best data analytics service:
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 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.
It is a programming language and the environment for statistical computing.
Tableau Public is a service that lets you publish interactive data visualizations to the web.
Python is a popular, high-level, interpreted programming language.
It is an open-source distributed general-purpose cluster-computing framework.
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 is a data science platform that provides an integrated environment for data preparation, text mining, machine learning, predictive analytics, and deep learning.
KNIME stands for Konstanz Information Miner, which is an open-source data analytics, integration, and reporting platform.
It is a software that provides self-service BI for all business users in organizations.
It captures, indexes, and correlates real-time data in a searchable repository.
Data analytics helps organizations mobilize their data and use it to identify new opportunities.
Data Analytics helps organizations in gathering information to speed up business activities.
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.
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.
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.
Geoffrey Moore