Data & Analytics
We apply our deep domain expertise and latest industry trends to solve complex business challenges, make data driven decisions to grow revenue, optimize operations and reduce risk.
Our Expertise
Data analytics services can help your businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals, all with the goal of boosting business performance.
Narwal brings the most effective data management, governance, warehousing strategies and transform your data into business value and outcomes.
Our Core Areas
1. Data Warehousing
Understanding how to organize and segment your data requires a deep understanding of data and the unique needs of your organization. Data Warehouse Architecture and Design services create a system that maximizes the potential of your data and your business.
We help businesses generate a higher return on investments (ROI) through enhanced business intelligence and data quality by implementing an Enterprise Data Warehouse “as a service” that rapidly adapts to the latest technology solutions. We profile and create stable data assets integrating data from hundreds of data sources, apply the data governance processes to ensure data is certified, efficient, and accurate for your business needs.
Cloud Data Warehousing Design and Architecture
Full-service Snowflake database solutioning, design, data ingestion pipelining & development
Source Data Analysis & Data Profiling
Data Quality
OLTP and dimensional Data Modelling (Logical and Physical)
ETL Development
Your build-out will vary depending on the complexity of your needs, but a typical enterprise database warehouse may consist of the following:
Understanding your specific data requirements, volume, and types.
Identifying current challenges with the existing data infrastructure.
Emphasizing the scalability of cloud data warehouses, ensuring they can handle growing data loads.
Flexibility to adapt to changing business needs.
Data sources that extract operational data from point-of-sale systems, business applications, and other relational databases
A staging area where data is cleaned and transformed for the warehouse or centralized repository
A warehouse or centralized repository which stores processed operational data, metadata, summary data, and raw data for easy user access
The addition of data marts, which takes data from the centralized repository and serves it in subsets to selected groups of users
A sandbox, which data scientists may use to test new forms of data exploration in a protected environment
A wide variety of data warehousing tools, frameworks, and APIs for integration, storage, performance, and analysis
Achieve best price-performance at any scale
Achieve up to 6x better price performance than any other cloud data warehouse, with a fully managed, AI powered, Massively Parallel Processing (MPP) data warehouse built for performance, scale, and availability.
Unify all your data with zero-ETL
Easily access or ingest data across your data lakes, databases, data warehouses, streaming data – with no code/low code zero-ETL approach for integrated analytics.
Maximize value with comprehensive analytics & ML
Run SQL queries and open source analytics, power dashboards and visualizations, activate near real-time analytics and AI/ML applications with analytics engines and languages of your choice.
Innovate faster with secure data collaboration
Share and collaborate on data easily within and across your organizations and even 3rd party data sets with no manual data movement or copying and with fine grained governance, security, and compliance.
Cloud Data Warehousing Design and Architecture
Full-service Snowflake database solutioning, design, data ingestion pipelining & development
Source Data Analysis & Data Profiling
Data Quality
OLTP and dimensional Data Modelling (Logical and Physical)
ETL Development
Your build-out will vary depending on the complexity of your needs, but a typical enterprise database warehouse may consist of the following:
Understanding your specific data requirements, volume, and types.
Identifying current challenges with the existing data infrastructure.
Emphasizing the scalability of cloud data warehouses, ensuring they can handle growing data loads.
Flexibility to adapt to changing business needs.
Data sources that extract operational data from point-of-sale systems, business applications, and other relational databases
A staging area where data is cleaned and transformed for the warehouse or centralized repository
A warehouse or centralized repository which stores processed operational data, metadata, summary data, and raw data for easy user access
The addition of data marts, which takes data from the centralized repository and serves it in subsets to selected groups of users
A sandbox, which data scientists may use to test new forms of data exploration in a protected environment
A wide variety of data warehousing tools, frameworks, and APIs for integration, storage, performance, and analysis
Achieve best price-performance at any scale
Achieve up to 6x better price performance than any other cloud data warehouse, with a fully managed, AI powered, Massively Parallel Processing (MPP) data warehouse built for performance, scale, and availability.
Unify all your data with zero-ETL
Easily access or ingest data across your data lakes, databases, data warehouses, streaming data – with no code/low code zero-ETL approach for integrated analytics.
Maximize value with comprehensive analytics & ML
Run SQL queries and open source analytics, power dashboards and visualizations, activate near real-time analytics and AI/ML applications with analytics engines and languages of your choice.
Innovate faster with secure data collaboration
Share and collaborate on data easily within and across your organizations and even 3rd party data sets with no manual data movement or copying and with fine grained governance, security, and compliance.
Businesses today move at a blinding pace. Customers expect more – and quickly. Companies need to adapt in order to meet the demands. As volumes of data are gathered, Analytics, Artificial Intelligence and supporting technologies hold the promise of new business insights and significantly reduced costs. However, many organizations don’t know how to start harnessing the power that Analytics provides.
We can help jumpstart your journey to better business insights. We can implement fully integrated Big Data technologies processing vast volumes of data from various sources with better quality and speed. Our business-focused approach helps you harness the power of Analytics and AI that are tied to measurable business outcomes.
2. Big Data & Analytics
Data Lakes & Lakehouse
Data Pipelines
Datawarehouse & BI
Narwal’s Consulting practice assesses and benchmarks an organization’s analytics maturity to ensure that it outpaces peer standards. Our team of data scientists and next-generation architects help clients make sense of the vast tracts of data within the organization by devising new monetization strategies and creating new sources of value.
Assessment of Data Needs
⏵ Assess data quality, volume, velocity, and variety to determine appropriate technologies.
Infrastructure and Technology Selection
⏵ Consider cloud-based solutions for scalability and flexibility.
Data Ingestion and Integration
⏵ Utilize ETL (Extract, Transform, Load) processes to prepare data for analysis.
Data Storage and Management
⏵ Employ data warehouses, data lakes, or hybrid solutions depending on requirements.
Data Processing and Analysis
⏵ Apply advanced analytics, machine learning, and AI algorithms for insights.
Data Visualization and Reporting
⏵ Implement dashboards for real-time monitoring and reporting.
No Infrastructure Maintenance
Creating a cluster of servers and having a team to keep them running and maintained 24X7 is just too difficult. There’s a severe lack of talent in the space that makes implementing on premise solutions even harder. Cloud allows companies to outsource their physical infrastructure and talent headaches.
Reduced Downtime and High Availability
The best part about cloud solutions is that you can start small. Instead of investing in huge physical infrastructure, you can use cloud to create a minimum viable cluster setup. If your data insights are not as valuable as you thought they would be, you can scale back the project or if they are game changing you can scale it up. You don’t need to invest in separate hardware and talent, each time you change your data strategy.
Low Setup Costs and Easier Buy-in
If you are implementing an on premise solution, you’ll be stuck with high upfront costs which makes it a luxury that few businesses can afford. Cloud solutions follow a pay as you go model and even if the project doesn’t unveil any profitable insights you will have only invested as much as you can afford. As a result, you can also convince stakeholders to buy into a cloud solution as compared to a on premise implementation.
Enhanced Security
Public clouds have grown and matured to provide heightened security that includes the ability to protect data, systems, and assets to take advantage of cloud technologies to improve your security. There are tools and techniques if well-defined and practiced then you can respond security incidents more quickly and easily.
Scalability
Sometimes you need speed as a business and time is of the essence. If you’re on an on premise solution that you are limited by the number of server clusters that you have set up. So a cloud solution gives you the flexibility that an on premise implementation cannot.
Data Lakes & Lakehouse
Data Pipelines
Datawarehouse & BI
Narwal’s Consulting practice assesses and benchmarks an organization’s analytics maturity to ensure that it outpaces peer standards. Our team of data scientists and next-generation architects help clients make sense of the vast tracts of data within the organization by devising new monetization strategies and creating new sources of value.
Assessment of Data Needs
⏵ Assess data quality, volume, velocity, and variety to determine appropriate technologies.
Infrastructure and Technology Selection
⏵ Consider cloud-based solutions for scalability and flexibility.
Data Ingestion and Integration
⏵ Utilize ETL (Extract, Transform, Load) processes to prepare data for analysis.
Data Storage and Management
⏵ Employ data warehouses, data lakes, or hybrid solutions depending on requirements.
Data Processing and Analysis
⏵ Apply advanced analytics, machine learning, and AI algorithms for insights.
Data Visualization and Reporting
⏵ Implement dashboards for real-time monitoring and reporting.
No Infrastructure Maintenance
Creating a cluster of servers and having a team to keep them running and maintained 24X7 is just too difficult. There’s a severe lack of talent in the space that makes implementing on premise solutions even harder. Cloud allows companies to outsource their physical infrastructure and talent headaches.
Reduced Downtime and High Availability
The best part about cloud solutions is that you can start small. Instead of investing in huge physical infrastructure, you can use cloud to create a minimum viable cluster setup. If your data insights are not as valuable as you thought they would be, you can scale back the project or if they are game changing you can scale it up. You don’t need to invest in separate hardware and talent, each time you change your data strategy.
Low Setup Costs and Easier Buy-in
If you are implementing an on premise solution, you’ll be stuck with high upfront costs which makes it a luxury that few businesses can afford. Cloud solutions follow a pay as you go model and even if the project doesn’t unveil any profitable insights you will have only invested as much as you can afford. As a result, you can also convince stakeholders to buy into a cloud solution as compared to a on premise implementation.
Enhanced Security
Public clouds have grown and matured to provide heightened security that includes the ability to protect data, systems, and assets to take advantage of cloud technologies to improve your security. There are tools and techniques if well-defined and practiced then you can respond security incidents more quickly and easily.
Scalability
Sometimes you need speed as a business and time is of the essence. If you’re on an on premise solution that you are limited by the number of server clusters that you have set up. So a cloud solution gives you the flexibility that an on premise implementation cannot.
3. Data Science
Redefine your business Strategies and Increase the competitiveness of your business by improving your products & services with Data Science.
Data is the core of your business, and analytics lets you know how well things are going on and examine what is working effectively for the business and what isn’t. In today’s era, successful companies are growing more because they utilize their data towards gaining insights to deliver better products and services to their customers. Ongoing advances in Data Science have yielded incredible results and value to commercial enterprises.
Many companies are still struggling to use their data more efficiently, as it is not organized and troublesome to manage. Their workflow & process still lack the necessary insights they need to extract to make essential business decisions. So, we’re here to help you by creating personalized solutions and help businesses drive value.
Define Cloud Data Platform
From strategy & roadmap definition to architecting infrastructure/services, we ensure seamless implementation of cloud data platforms.
Migrate Legacy Data Platforms
We specialize in migrating traditional/proprietary databases/appliances to modern cloud solutions like Snowflake.
Data Science
From Proof of Concepts (POCs) to full-scale solution implementations, we leverage data science to drive actionable insights.
Strategize
We carve out the value map across data providers, business consumers, data infrastructure & organizational goals, followed by a detailed data programs roadmap.
Introspect
We assess and align organizational data maturity levels, conducting thorough due diligence and gap analysis.
Discover
From problem statement definition to MVP development and statistical modeling, we guide businesses through the data discovery process.
Outcomes-based Delivery Capabilities/Execution
Flexible Engagement Models
Agility
Define Cloud Data Platform
From strategy & roadmap definition to architecting infrastructure/services, we ensure seamless implementation of cloud data platforms.
Migrate Legacy Data Platforms
We specialize in migrating traditional/proprietary databases/appliances to modern cloud solutions like Snowflake.
Data Science
From Proof of Concepts (POCs) to full-scale solution implementations, we leverage data science to drive actionable insights.
Strategize
We carve out the value map across data providers, business consumers, data infrastructure & organizational goals, followed by a detailed data programs roadmap.
Introspect
We assess and align organizational data maturity levels, conducting thorough due diligence and gap analysis.
Discover
From problem statement definition to MVP development and statistical modeling, we guide businesses through the data discovery process.
Outcomes-based Delivery Capabilities/Execution
Flexible Engagement Models
Agility
Data analysis is key to the success of any startup, SMEs, or large enterprises. It gives the power to make informed decisions and calculated risks. However, for most organizations, analyzing terabytes of data and understanding the trends is very difficult without proper graphical interactive visualization.
Data Visualization solutions such as Tableau, WebFOCUS, Power BI and Qlik are tremendously powerful platforms for blending data together from disparate sources and presenting important information in a visually appealing format. Using the rich data, empower your decision-makers with comprehensive views of the latest analytics delivered via intuitive visualizations.
At Narwal, we bring deep expertise and decades of experience in designing and developing these solutions.
4. Data Visualization
Descriptive & Diagnostic BI
From OLAP reports and dashboards to self-service BI solutions, we empower businesses with actionable insights.
Predictive Analytics
Leveraging trending, forecasting, and simulation techniques to anticipate future trends and outcomes.
Prescriptive Analytics
AI/ML-enabled foresights that provide actionable recommendations for optimizing business strategies.
Hindsights
We offer a rear-view approach driven by insights, enabling businesses to measure, decide, and act/align based on past data.
Insights
Our windshield view approach focuses on exploring, discovering, and innovating with insights derived from current data.
Foresights
Leveraging foresights to enable timely business interventions, course corrections, and optimizations.
Outcomes-based Delivery Capabilities/Execution
Flexible Engagement Models
Agility
Descriptive & Diagnostic BI
From OLAP reports and dashboards to self-service BI solutions, we empower businesses with actionable insights.
Predictive Analytics
Leveraging trending, forecasting, and simulation techniques to anticipate future trends and outcomes.
Prescriptive Analytics
AI/ML-enabled foresights that provide actionable recommendations for optimizing business strategies.
Hindsights
We offer a rear-view approach driven by insights, enabling businesses to measure, decide, and act/align based on past data.
Insights
Our windshield view approach focuses on exploring, discovering, and innovating with insights derived from current data.
Foresights
Leveraging foresights to enable timely business interventions, course corrections, and optimizations.
Outcomes-based Delivery Capabilities/Execution
Flexible Engagement Models
Agility
How We Deliver Value
The mate was a mighty sailing man the Skipper brave and are five passengers set sail the boat harder and faster
Assessment
We will do a comprehensive assessment of your organization’s needs, create a vision that aligns with your broader corporate strategies and capabilities, and build a transformative roadmap that drives maturity and scales as you grow.
Laying the Data Foundation
We will help create your data framework, build data strategy, data governance, optimize your infrastructure, processes, systems, and create the culture to become a data-driven organization.
Generating Insights
We will help you experience improved data visibility and derive actionable insights from real-time, historical, traditional, and Big Data. We will implement advanced data analytics methods using Machine Learning, AI, and Data Science models.
Outcomes and Business Value
Deliver the Data products and solutions to increase revenue, optimize customer experience, and improve operational efficiencies. We will help you with predictive Analytics and User Behavior Analytics to measure and grow the business outcomes and innovate.
Statistics After Choosing Narwal
The mate was a mighty sailing man the Skipper brave and are five passengers set sail the boat harder and faster
100x
Faster Analysis and Reporting
100%
On-time Delivery and Under-budget
100%
Customer Satisfaction
10M+
Cost Savings
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Cincinnati, OH 45249
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