Data Analytics Services

Maximize the Value of Your Data with a Strategic Data Analytics Framework

When you have a strategic data & analytics framework, you get a distinct advantage to truly maximize the value of your data. It helps extract insights and allows you to drive purposeful outcomes. Ness can help you develop this framework by understanding key business objectives, the data you need to collate, and how to analyze it to drive your desired outcomes. Our consultants can identify the data sources: internal sources such as customer databases, operational data, etc., external data sources such as market data, digital touchpoint data, or industry benchmarks, etc. They can decide on the data collection tools and data warehouses to handle and store this data. The data will be cleaned for duplicates or consistency issues and analyzed to derive actionable insights using statistical methods and ML solutions. The insights can be visualized using dashboards to help you and other stakeholders understand the data implications.

From modernization to standardization, Ness digital analytics services can help companies build the right data infrastructure, transformation processes, and analysis methods to drive productivity, open new revenue streams, provide repeatable value, and maintain a competitive advantage.

Customized Data Analytics Solutions for Different Industries and Verticals

A customized data & analytics solution is tailored to meet a specific business operation, process, or goal requirement. The solution involves advanced data & analytics tools and techniques to derive insights from a targeted data cluster for any unique need. Data analytics solutions and data analysis services are extensively used in industry verticals such as manufacturing and transportation, media and entertainment, education, financial services, networking, storage, and security domains.

In manufacturing and transportation, predictive analytics is used to proactively schedule vehicle maintenance, optimize supply chains, improve operational efficiency, and reduce costs. Other areas of implementation include monitoring machine performance, identifying any maintenance issues, and reducing downtime. In media and entertainment, custom analytics solutions can enable businesses to understand audiences better, optimize content discovery and personalize content distribution strategies. Data & analytics can track viewer engagement and customer behavior trends and make decisions to develop targeted content.

In education, custom data & analytics solutions can enable schools or universities to get a deep-dive understanding of student performances, identify students with low scores, track student progress, personalize learning for students at risk, and enhance the effectiveness of teaching strategies to improve learning outcomes.

In financial services, such solutions can enable fraud detection patterns or identify suspicious transactions or cost-saving opportunities, mitigate risks of financial crimes, or find ways to improve investment strategies.

In network, storage, or security domains, custom data and analytics solutions can be used to monitor network traffic, detect security threats, optimize storage or network performance, improve security posture, and reduce network maintenance costs.

If you are keen to know more about how data analytics consulting can help your business, get the Ness data and analytics services advantage. Advanced analytics solutions and data analytics consulting services from Ness can help you to gain insights from various data sources for making informed decisions to enhance operations.

Data & Analytics Services and a Strong Data Strategy Framework To Unlock Your Data Ecosystem And Transform Raw Data Into Actionable Business Intelligence


Data Strategy

At Ness, we help you build a data strategy framework to make informed decisions based on your data.

Our data analytics consulting services and consultants can comprehensively view the tools, processes, and rules that define how to manage, analyze, and act upon your business data.

  • Data Strategy: We empower our clients to implement a comprehensive data strategy framework using modern cloud data analytics technologies, achieving optimal security, scalability, performance, and efficiency.
  • Data Governance Review: Ness has proven project delivery leadership in advanced analytics solutions, such as ML solutions for data governance initiatives, addressing strategic imperatives, including security, regulatory compliance, stewardship, ownership, data sharing, and data democratization.


Data in Motion

  • Re-orchestration: As the lifeblood of any organization, data must be available to new applications. Ness’s Re-orchestration helps unlock data trapped in application silos.

    We refactor batch-based, monolithic applications to event-based, streaming architectures. We design, build, and test data pipelines using Kafka, Flink, Python, Spark, Azure Data Factory, Databricks, Airflow, Kinesis, Fivetran, Talend, and others.

    Our digital analytics consultants work with you to modernize your data infrastructure & communication platforms through ideation, architecture, prototypes, and implementation.


Data At Rest

We help transform your data infrastructure from on-prem to modern cloud data analytics platforms. We do this using our extensive knowledge of platforms such as Snowflake, AWS, Microsoft Azure, Data Bricks, and Confluent Cloud.

  • Platform Modernization: Transitioning legacy data technology stacks and technologies, such as proprietary data stores and mainframes, to modern cloud data and analytics platforms is a foundational part of digital transformation.

    Ness helps you migrate to modern cloud technologies, including Snowflake, AWS, Microsoft Azure, Data Bricks, and Confluent Cloud. Our experts will help refine your data strategy, define the architecture, and implement modern data lakes, data warehouses, visualization, reporting, and analytics.

  • API Unification For Analytics (Powered By Proprietary APIX Solution): API providers are looking for targeted delivery channels to drive the mass adoption of their APIs.

    Microsoft Excel is one of the most popular tools for data analysis services, but exposing APIs to Excel causes API providers to get dragged into building and updating custom Add-ins instead of focusing on their core product development.

    Ness’s APIX™ allows Microsoft Excel to be used as a runtime application, enabling the consumption of cloud-based services as native Excel functions, making it the only Excel Add-in you’ll ever need.


Custom Artificial Intelligence (AI) / Machine Learning (ML) Solutions

Artificial intelligence and Machine Learning solutions can rapidly transform businesses ranging from startups to Fortune 500 companies. Our custom AI solutions accelerate your AI / ML projects and help you realize value from machine learning initiatives faster.

We make it easier to convert data into intelligence and build enterprise AI solutions, such as risk management, preventive maintenance, portfolio analytics, fraud detection, personalized promotions, portfolio analytics, data intelligence, churn analysis, fraud detection, inventory optimization, and predictive maintenance.

We offer end-to-end MLOps and DataOps process design, workflow and implementation capabilities and design and deliver AI Governance through Responsible AI and Ethical AI lenses to ensure your AI investments are free of bias, auditable, traceable and explainable.

We offer multi-cloud expertise in AWS and Azure. Our data scientists and engineers are trained and certified in Sagemaker, Azure ML, Databricks, mlflow, Kubeflow and major open-source Python libraries like TensorFlow, Keras, PyTorch, scikit-learn and Theano.

API Integration for the Digital Economy

APIX™ enables the seamless integration of APIs in Excel. It converts any API with an associated Swagger document into an Excel first-class citizen, all without having to maintain custom Add-ins.

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What is data analytics services?

Data analytics services uses tools and technologies to analyze and interpret data using statistical or computational methods to derive actionable business insights.

Is the cloud a data infrastructure?

Cloud can be considered as a data infrastructure as it allows users to store and manage their data.

What is the role of data analytics in services?

The role of data analytics is to empower an organization by analyzing and interpreting data and gain insights from it to drive key business decisions.

What are the different types of analytics services?

The types of analytics services include, descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, cognitive analytics and Big Data analytics.

What is cloud data and analytics?

Cloud data and analytics is the use of cloud computing tools and technoloiges to process, analyze and visualize data.

What is the difference between cloud analytics and data analytics?

Cloud analytics involves the use of cloud infrastructure such as AWS, MS Azure or Google Cloud to drive data analytics tasks. Data analytics is the use of tools and platforms both in on-premise and cloud to analyze and interpret data.

What are data analytical services?

Data analytical services include cleaning data, data modeling, data visualization, data mining, and predictive analytics using ML algorithms.

What is the services analytics?

Services analytics is methodology of data capturing, processing and analyzing it to get insights which is of value to the organization.

Our Work in Action

Digital Practice Case Studies

As many of us indulge in Netflix a little more than usual, you may have seen a documentary called Free Solo.

The client is a top 3 US bank with a global footprint in more than 100 countries.

The client is a leading governmental agency providing transportation services to millions of commuters in major cities and provinces. They are responsible for operating the various subway, bus, commuter rail, and other transportation solutions. ​

The client clears billions of options contracts per year across 16 exchanges and is the world's largest clearing corporation for listed equities options. The client is the buyer to every seller and the seller to every buyer in the U.S. listed options markets, responsible for maintaining liquidity and the efficient flow of trade in these markets.​


Our Work in Action

Digital Practice Case Studies

As many of us indulge in Netflix a little more than usual, you may have seen a documentary called Free Solo.


Accelerate Your Digital Transformation with Our Business Domain Knowledge, Technology Expertise, and Agile Delivery Process.