Professional Data Driven Cum
Data Analytics Service 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.

data analytics services, data analytics solutions

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.

How We Can Work Together

Our Process On Data Analytics Services
and Solutions

Our Trusted Partners

We are proud to collaborate with industry-leading brands who trust us to deliver innovative digital solutions.
Together, we create impactful experiences that drive success and growth.

Tools We Use For Website Development

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Power BI
SQL
Tableau
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AlteryxApache
Hadoop
Azure Cognitive Services
Azure Data Factory
Azure Synapse Analytics
ELK Stack
MongoDB
Pentaho
SnapLogic SQL
Server Master Data Services
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Azure Machine Learning
Python
Snowflake
Apache Spark
TensorFlow
R
OpenCV
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Docker
Evidently
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Git
Grafana
Jenkins
Prometheus
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Hugging Face
Llama
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IndexNLTK
SpaCy
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Keras
PyTorch
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TensorFlow
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Yandex CatBoost
LightGBM
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PROPHET
Scikit-Learn
Spark-MLlib
XGBoost

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.

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Manufacturing

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Healthcare

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Transportation

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Real Estate

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Education

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Travel

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Retail

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Banking

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.

By Region of Analytics

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.

Get Personalized Data Solutions Today

Share your requirements, and we’ll customize a data analytics solution that drives smarter decisions and better results for your business.

Industry We Serve

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Financial Services
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Banking
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Insurance
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Investment
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FinTech
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Payments
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Retail
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Healthcare
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Manufacturing
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Professional Services
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Transportation and Logistics
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Telecommunications
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Construction
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Travel and Hospitality
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Education

Industry We Serve

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Find Quick Answers to Common Questions

Big Data analytics analyzes "Big Data," large, complex datasets, to identify insights, patterns, trends, and linkages. Many "Big Data" databases are too large, diverse, and fast-moving for ordinary data processing. Statistical techniques, machine learning, and data mining extract useful data from huge datasets in Big Data Analytics. Big Data Analytics aids finance, healthcare, marketing, and other organizations in data-driven decision-making, efficiency, and competition. Real-time data processing and analysis from several sources yields crucial business insights.

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.