Data Analytics Consulting Services
- Issues with data accuracy and reliability?
- Want to improve how you handle forecasting?
- Want to discover missed opportunities with a deeper analysis of your data?
- Want to get rid of bottlenecks in your operations?
DON’T JUST TAKE OUR WORD FOR IT
Director of Business Intelligence, MW Industries
SUKANA VINOD
"We contracted with Affirma for Data engineering and support to help complement my team, due to the number of projects that were in transition and were being executed in parallel. Affirma stepped in immediately and helped us a great deal. The data engineers in the team were very knowledgeable and did an amazing job!"
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Turn Your Data Into Actionable Insights.
OUR PEOPLE
Our data analytics consulting team are experts across a variety of data technologies, solutions, and industries in order to solve your organizations toughest pain points. Our employees are dedicated to developing data solutions that meet your security requirements and business needs.
GURANTEED RESULTS
We combine our people, technology expertise, and industry experience to deliver comprehensive data analytics solutions. Whether you need to enhance your customer's experiences, improve employee retention, enhance HR processes, or gain insights into sales/marketing processes, we can help.
ENTERPRISE EXPERTISE
We have worked with hundreds of enterprise companies and have a thorough understanding of the enterprise landscape and can develop and deliver enterprise Data Analytics strategies, reporting, dashboard visualizations, and data integrations to help you stay proactive and competitive in your market.
Why Leading Companies Choose Affirma's Data Analytics Consultants
TECHNOLOGY EXPERTISE
Data Analytics Consulting Services
BIG DATA
CLOUD MIGRATION & CLOUD ENGINEERING
BUSINESS INTELLIGENCE
MODERN DATA ARCHITECTURE
DATA WAREHOUSING
ENTERPRISE DATA MANAGEMENT
ADVANCED ANALYTICS & MACHINE LEARNING
DATA VISUALIZATION
We help organizations use data to answer crucial business questions, discover relationships and trends, predict outcomes, and automate decisions. Our data and analytics consulting team uncover new insights using applied mathematics, statistics, modeling, and machine learning with an emphasis on helping teams in sales, marketing, operations, supply chain, finance, HR, and more to make stronger business decisions.
We visualize your data to help you measure your performance against your goals. We leverage the best visualization tools such as Tableau and Power BI.
We leverage machine learning and AI to help you identify meaningful patterns and accurately predict business outcomes.
We help set up secure data processes to ensure your organization is focused on data quality, security, accuracy, and excellent governance.
With a strong focus on the cloud in Azure, AWS (Amazon Web Services), GCP (Google Cloud), Snowflake, and more, we are ready to help with all your data warehousing needs.
We are experts in analyzing and drawing meaningful insights from complex and large data sets to increase your business's efficiencies.
We can help your organization deploy scalable cloud analytics to provide improved security, lower costs, and enhanced scalability.
Our data analytics solutions are designed to provide your business with actionable insights to gain you a competitive edge, improve efficiencies, and help you make stronger business decisions.
We can help modernize your data systems and assets to improve scalability as your data needs become increasingly complex.
Access to countless data valuable sources. Without a centralized, automated solution the value of this data is extremely limited.
No existing automation of data collection, cleansing, transformation, and reporting. There are numerous manual processes to handle these functions.
GROWTH & SCALABILITY
DATA INTEGRITY
DATA VALUE
MANUAL REPORTING
ANALYTICS CAPABILITIES
DATA SILOES
Data is siloed in various source systems and even when extracted, it is difficult to consolidate data sets or provide strategic insights across the business.
The variety of data sources and manual data collection processes have caused inconsistencies with data quality and reliability.
Until data is centralized, it will be challenging for an organization to implement strategic analytics such as self-service analytics, data science, or machine learning.
As an organization continues to grow its brand portfolio and target markets, the organization’s analytics will become exponentially more difficult to scale.
