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Data Analytics

Sky-rocket Brand Value and Boost Data-driven decision with Data Analytics

data analytics
npci
google
disney
bbc
tata power
astral
kantar media
zydus
emaar
art of living
sbs discovery media
ceat
hitachi
dhl
viacom media

What is Data Analytics?

Data Analytics is a very important component of Artifical Intelligence. The business gets evolved, its brand value gets upgraded because of the data-driven decision. The acquired data is useful for the business to make valuable analyses. Risks are also mitigated so that data is turned into actionable insights.
 
With the help of data analytics, new perspective emerges of the business growth, actionable insights, realistic leverages, and more. Data Analysts have the latest market trends within their knowledge.

Various Elements of Data Analytics

1) Data Warehousing

Data Warehousing is a relatively new way of collecting and obtaining compelling insights. Main feature of data warehousing is to optimize data, ensure fast speed and efficiency and enhance data volumes, and others. The inclusion of data warehousing can boost performance and keep the balance of data.

2) Data Visualization

Data needs to be described in a way that is appealing and smooth to be meaningful and useful. Our data analytics services use unique infographics, charts and other useful content to help to make important decisions.

3) Data Migration

Data Migration helps to enhance and upgrade the existing data through digital transformation. This process is known as automation and the advantage of it is that it doesn’t interfere in any business process. It is very reliable, scalable, and secure.

4) Big Data

You can avoid risk with the help of Big Data solutions and give the insight to understand the operational processes, customer behavior, and more. With the help of the right tools and state-of-the-art all the needed outcomes are possible.

5) Data Quality Management

The purpose of Data Quality Management is to ensure whether the operation is running smoothly or not. Another name for data management is rescue management as it steps in when things are falling apart. The team tackled the massive work of quality control, migration, integration, data governance, deployment, and archiving with ability and experience.

6) Data Science

One of the most common terms used in Data Analytics is Data Science. It builds and takes care of amount of after massive in some time and helps to gather it also. Data Science holds an extremely important place in Data Visualization and its core method in math, advanced statistics, machine learning, programming, predictive modeling, and more.
 

Data Analytics Industries Services:

 
- Business and financial research
- Healthcare analysis
- Customer analytics
- HR analytics services
- Supply chain data analytics services

Procedure:

Assemble Data Requirement

It is important to know which kind of data is required and how to group it into respective categories. The masters here at Fictive Studios define the business necessary and adhere to the challenges to tackle. We collect relevant data from the current database and various other sources. The advantage of this process is that it helps to quantify available data and identify KPIs and objectives. Consistency and collaboration form this type of data.

Data Analysis

The future prediction is recognized after the data analysis is optimized and provides a new framework for data research. Patterns, comparisons, and building insights are some common features of this process. Also, unnecessary and misleading info that is not needed is dumped. The data structure is a frame to implement it accurately.
Data Optimization
Future consequences are planned using a predictive technique and data analysis is estimated. Data is optimized and is implemented after objectives are defined. This tool is cost effective, scalable and reliable for the business.
Final Deploy Process
Maintenance and deployment are the final processes. Results are deployed, monitored, and more. Our data analyst keeps a constant eye on challenges, issues, and sustains the maintenance of the objective.
Reason for Opting for Fictive Studios
- Smooth Process
- Modern Technology
- Optimize Approach
- Strong strategies
 
Fictive Studios takes the extra step forward and make data analytics a personalized and prominent service. We have skilled experts who make sure that your project is done with sheer dedication and turns out into a success. This data provides specific and helps make a powerful data-driven decision for you company. Our organization has helped many businesses reach the top with our data analytics services.

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Technologies We Work on

Building The Future, One Line Of Code At A Time

1. Requirements Gathering

The project team will identify and document the requirements for the completion of the project, including functional, technical, and non-functional requirements. The process involves conducting stakeholder interviews, analyzing existing systems, and reviewing industry standards and best practices.

2. Design And Architecture

Once the requirements are gathered and documented, our project team will initiate the design and architecture phase. This involves creating high-level mobile app designs, including technical components, network architecture, security requirements, and data flow diagrams.

3. Development And Coding

After the design and architecture phase, the project team will begin developing the software and coding the mobile app. This includes unit testing, integration testing, and debugging to ensure the code meets the requirements and is free of bugs.

development

4. Quality Assurance And Testing

In this phase, the project team will conduct various types of testing to ensure the mobile app meets the requirements and complies with high-quality standards. This includes functional testing, performance testing, security testing, and user acceptance testing.

5. Deployment And Implementation

Once the mobile app has been tested and verified, the project team will begin the deployment and implementation phase. This involves installing the software, configuring hardware and network components, and migrating data from existing systems to the new solution.

6. Monitoring And Maintenance

After the mobile app is deployed, the project team will continue to monitor and maintain the system to ensure it performs optimally and meets ongoing business needs. This includes conducting regular system updates, monitoring app performance and security, and addressing recurring issues or bugs.

7. Enhancements And Upgrades

As the business needs to evolve, the mobile app will require enhancements or upgrades to keep up with the new trends. The project team will work with stakeholders to identify these needs and create a plan for implementing the changes.

Building The Future, One Line Of Code At A Time

1. Requirements Gathering

The project team will identify and document the requirements for the completion of the project, including functional, technical, and non-functional requirements. The process involves conducting stakeholder interviews, analyzing existing systems, and reviewing industry standards and best practices.

2. Design And Architecture

Once the requirements are gathered and documented, our project team will initiate the design and architecture phase. This involves creating high-level mobile app designs, including technical components, network architecture, security requirements, and data flow diagrams.

3. Development And Coding

After the design and architecture phase, the project team will begin developing the software and coding the mobile app. This includes unit testing, integration testing, and debugging to ensure the code meets the requirements and is free of bugs.

development

4. Quality Assurance And Testing

In this phase, the project team will conduct various types of testing to ensure the mobile app meets the requirements and complies with high-quality standards. This includes functional testing, performance testing, security testing, and user acceptance testing.

5. Deployment And Implementation

Once the mobile app has been tested and verified, the project team will begin the deployment and implementation phase. This involves installing the software, configuring hardware and network components, and migrating data from existing systems to the new solution.

6. Monitoring And Maintenance

After the mobile app is deployed, the project team will continue to monitor and maintain the system to ensure it performs optimally and meets ongoing business needs. This includes conducting regular system updates, monitoring app performance and security, and addressing recurring issues or bugs.

7. Enhancements And Upgrades

As the business needs to evolve, the mobile app will require enhancements or upgrades to keep up with the new trends. The project team will work with stakeholders to identify these needs and create a plan for implementing the changes.

An Overview Of Our Mobile Solutions Portfolio

4500+

Apps Developed

2200+

Website Designed

2700+

Happy Clients

1000+

Developers

120+

AI & IoT Solutions

140+

Games Developed

120+

Salesforce Solutions

40+

Data Science

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