Professional Data Driven Cum
Data Analytics Services Providers
By mapping all of a business's data sources, our Data Analytics Services help businesses find and
understand key details that help them make smart decisions.
Data Analytics and Its Significance in the Modern Business Landscape
Analyzing, cleaning, manipulating, and modeling data to extract meaningful information, make inferences, and aid in decision-making is known as data analytics. It involves the use of various techniques and tools to analyze large sets of data, uncover patterns, trends, and insights, and make informed business or strategic decisions.
Data is king in the fast-paced business world of today. Companies are creating and collecting an enormous amount of data, which can help them learn a lot about their customers, the market, and how to run their businesses more efficiently. The process of gathering, organizing, and analyzing data, called data analytics, is very important for getting these insights. This helps people make better decisions, run their businesses more efficiently, and find new opportunities.
Akkenna’s Data Analytics and Solutions
Akkenna's Data Analytics and Solutions provides advanced analytics services that are customized to meet the needs of your business. These services give you information that you can use to make smart decisions.
- Data and Analytics Strategy
- Data Security and Privacy
- Reporting and Visualization
- Advanced Analytics Using AI
- Cloud Data Management
- Analytics Managed Service
- Master Data Management
- Enterprise Data Management
- Data Architecture and Engineering
Our Process On Data Analytics Services
and Solutions
Optimize Your Operations with Data Analytics. Schedule a Consultation Today!
Applications of Data Analytics in Different Domains
As a data analytics company, Akkenna helps companies in many different industries combine, gather, and study different kinds of data from many different sources so they can meet their most demanding departmental and enterprise-level needs.
Manufacturing
- Monitoring and optimizing equipment performance.
- Manufacturing quality improvement.
- Equipment upkeep scheduling.
- Forecasting and optimizing power
- Analyzing production loss causes.
Healthcare
- Monitor patient health, and warn as needed.
- Optimization of patient care.
- Risk assessment and individualized care options.
- Detecting healthcare fraud.
- Healthcare workers' workload estimation and shift optimization.
- Space and equipment optimization in clinics.
Transportation
- Optimize capacity based on delivery, vehicle availability, and staff shifts.
- Vehicle demand predictions.
- Predicting optimal fuel levels from driving habits.
- We use IoT data analytics to deliver safely.
Real Estate
- Detailed portfolio management including costs and cash-flow estimates.
- Tracking rental, occupancy, and other property performance KPIs.
- Multidimensional client segmentation with AI-powered targeting suggestions.
- Analysis of market trends and property values to aid investment decisions.
Education
- Performance statistics and intervention notifications for students.
- Understanding learning platform usage helps improve teaching and learning.
- Optimizing resource allocation with enrollment predictions.
- Teacher performance analysis and top talent recruiting and retention.
Travel
- Analyzing service quality and personnel performance.
- Demand forecasting to maximize hotel, flight, and other service income.
- Analytics for service quality and employee performance.
- To improve CRM, tracking and analyzing consumer contacts, preferences, and feedback.
Retail
- Sales and profitability analysis for retail businesses.
- Forecasting and demand analysis.
- Multi-tier inventory optimization.
- Optimizing assortment and merchandising.
- Smart product promotion suggestions based on data.
Banking
- Bank stability indicators are monitored continuously.
- Predictions for institutions.
- 360-degree customer views.
- Finding cross- and up-sells.
- Customer-service management tips.
- Early market, credit, and operational risk mitigation using what-if modeling.
Our Extended Capabilities
Generative AI Services
Website Development
Mobile App Development
Custom Software Development
Product Engineering Services
Quality Assurance Services
DevOps
MVP Development
Cloud Consulting
The Benefits of Akkenna as
Your Analytics Partner
Efficient Automation
We set up self-service BI and automated data management and governance processes so that you can easily make reports on the fly without knowing how to code and so that your IT team doesn't have to handle data by hand.
Clear and Concise Reporting
We make the most important analytics insights stand out in each report and make them easy to read at a glance by using a variety of data visualization methods.
Consistent Findings Derived From Credible Data
We bring together all of your different data sources into a DWH, which acts as a single source of truth for analytics across the whole company. For reliable analytics, our strong ETL methods will make sure that your data is always correct, consistent, and full.
Optimizing Data Analytics For Value
As a professional analytics consulting firm, we don't just make reports; our goal is to help you get the most out of your analytics solution and find new ways to improve productivity and cut costs that are hidden in
your data.
Our Extended Capabilities
Financial Analytics
Assessing firm revenue, costs, and profitability.
Assessing profitability and financial performance.
Long-term company strategies, budgeting.
Money risk forecasting and management.
Sales and Product Analytics
Analytics on sales channels.
Analytics for pricing strategy.
Trend-spotting and sales prediction.
Analyzing product performance.
HR Analytics
Performance analysis of employees/departments.
Analyzing employee satisfaction.
Management and enhancement of employee retention.
Assessment and improvement of hiring strategies.
Supply Chain Analytics
Demand drivers, forecasting, and planning consumer demand. Assessing supplier performance. Predictive routing. Inventory planning and management to fulfill demand and avoid stockouts.
Customer Analytics
Client behavior analysis and prediction.
For targeted sales and marketing, customer segmentation.
Extended customer lifetime value via personalized cross-selling and upselling.
Attrition prediction and churn risk management.
Asset Analytics
Monitoring and tracking assets live.
Strategizing asset maintenance, predictive, and preventive maintenance.
Planning asset purchases.
Analysis of asset consumption, planning, and scheduling
modernization/replacement/disposal.
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Find Quick Answers to Common Questions
TruBI improves Big Data Analytics by showing complicated datasets clearly. This makes it easy to see trends and patterns so that smart decisions can be made. The tool makes it easier to understand data, so users can easily get information they can use.
Cloud-based Big Data Analytics Services improve scalability, which lets researchers handle large datasets quickly. They give you cheap access to powerful computing tools and make it easy to work together on projects that involve a lot of data.
With the help of Datamatics, organisations have been able to optimise their operations, improve their decision-making with data-driven insights, and increase their overall competitiveness. This has been accomplished through the effective utilisation of Big Data and Analytics.
Data lakes make Big Data Analytics easier by giving us a central place to store huge amounts of different kinds of data. This lets businesses quickly process, study, and learn useful things from both structured and unstructured data in real-time, which leads to a broader and more flexible approach to data analytics.
Many different types of data can be hard to store, process, and analyze while managing big datasets. The most common problems are making sure the data is correct, fixing problems with scalability, and figuring out how to use complicated tools. The good use of Big Data and Analytics can still give us useful information that helps us make smart decisions, even with these problems.
Using Big Data and analytics to help businesses has worked well for Datamatics, giving them useful information to help them make decisions, run their businesses more efficiently, and grow strategically.
Predictive analytics does examine data from equipment to estimate upcoming maintenance needs. This helps to minimize operational disruptions, reduce downtime, and extend the life of equipment.