Business Intelligence Solution built on Big Data for Internet Telephony Enterprise
Growexx provided a dedicated team that worked as an extended part for an MNC offering business intelligence solutions for big …
We help companies use data to improve their business by making informed decisions faster, based on conclusive insights
Using big data allows businesses to identify and fix inefficiencies, streamline proc esses, and incorporate feedback—enabling organizations to avoid any wastage, work faster, and increase profits in short or long time.
Big data analysis helps in identifying customer needs, ascertain satisfaction, and make changes as insights are uncovered. For established brands, data analytics allow them to avoid the guesswork linked with product development and make it easy to give customers exactly what they like.
Big data facilitates smarter decision-making—fast. Businesses can now analyze loads of information in real-time and make crucial strategic decisions based on unerring data.
Advertising
E-commerce
Medicine
Banking and Finance
Construction
Transport & Logistics
Education
Manufacturing
Energy and Utilities
Government
At Growexx, we focus on transforming businesses to be more data-centric and to deliver improved value by utilizing meaningful data. Our technology and domain experts work your team to understand organization’s vision. Collaborating with the business teams, we help them define a customized data strategy roadmap, which includes laying out a step-by-step process after analyzing key data sources, transformation, storage, and access – likewise, we help enterprises achieve their goals by being data-driven. This roadmap encompasses activities that include identifying tools and laying out processes for specific data management, cloud-based data transformation, visual, storage, and advanced analytics data solutions.
We think big and act fast. Our team ensures that the product is released quickly while keeping the scope of scaling as top priority after the launch.Our team at Growexx focusses on delivering customized and scalable services in congruence with our clients’ business goals enabling them to achieve improved efficiency and accelerated growth. We help organizations achieve data excellence by setting up the right infrastructure for data storage and putting in place the right people and data processes that enable effective data management. We also help organizations in evaluating various data management concepts, technologies, and processes. We assist organizations in choosing the best technology according to their customized needs, be it on-premises, in the cloud, or multi-cloud solutions. Our highly skilled team of talented data engineers provides best-in-class data management services with utmost adherence to data security norms and practices.
Equipped with the latest algorithms and tools, our team at Growexx allows enterprises to access and capitalize on the vast potential of data by providing customized visual analytics solutions. Flexible, animated, and immersive visual analytics is a capability that allows business leaders to think out of the box. It makes it possible to identify trends, patterns, and outliers and draw substantial insights to enable better decision making. Our data visualization experts understand and differentiate between various tools available enabling them to pick the best tool suited for the client’s needs.
It is a general practice that in organizational or business data analysis, one must begin with asking measurable, clear and concise questions. For example, we start with a clearly defined problem: A team is experiencing rising costs and is no longer able to submit competitive contract proposals. One of the questions to solve this business problem might include: Can the company reduce its staff without compromising quality?
Once the data is collected, the next step is to get it ready for analysis. A good analyst spends maximum time in a project cleaning the data. This process includes the below tasks-
Our team uses many open-sources data tools for these purposes. However, for very large database or ‘heavy scrubbing’, we use Python libraries (e.g. Pandas) and some R packages.
Now comes the real deal- analyzing the data. The type of data analysis we carry out largely depends on the customized goals of different clients. However, we deploy many techniques; Univariate or bivariate analysis, time-series, and regression analysis are just a few to name. Broadly speaking, all data analysis can be described by the following categories-
Snowflake
Amazon Web Services
Tableau
Power BI
Airflow
Kubernetes
Jenkins
Azure
Growexx provided a dedicated team that worked as an extended part for an MNC offering business intelligence solutions for big …
Data analytics is essential because it helps businesses optimize their performances. Implementing data analytics into the business model means businesses can help reduce costs by identifying even more efficient ways of doing business. A company can use data analytics to make better business decisions and help identify and analyze customer trends and feedback, which may lead to new—and better—products and/or services.
Data analytics is broken down into four types. Descriptive analytics explains what has happened over in the past. Diagnostic analytics focuses more on why certain things happened the way they happen. Predictive analytics moves to what is likely going to happen in the near term. And prescriptive analytics suggests what further course of action must be.
A few popular data analytics tools include –
Business intelligence (BI) and two of its subsets—business analytics and data analytics—are all data management solutions used to analyze historical and contemporary data and create actionable insights for bsuinesses.