Data Analytics Consulting
Unleash the strategic value of enterprise data by building a data-driven organization that grows your business. Get the best data analytics consulting services and leverage Unicsoft’s expertise to extract valuable business insights.
- Proactivity and anticipation of customer needs
- Mitigating risk and fraud
- Delivering relevant products and services
- Personalization of the customer experience
- Optimizing and constantly improving the customer experience
Data analytics is critical to any organization's growth. It can help identify customer needs, mitigate risk, and make informed decisions
Get in touchСhallenges to be aware of before implementing data analytics
With the start of data aggregation, an organization may receive information on every incident and interaction daily. This leaves risk managers and other employees overwhelmed with the amount of collected data.
Moving data into one system has minimal impact if it can’t be accessed by people who need it. Decision-makers need to access all company’s data anytime, even if they are working off-site.
Analyzing data across different disjointed sources is challenging and confusing. Various pieces of data are usually housed in different systems, which leads to incomplete or inaccurate analysis.
Data should be visually presented in graphs or charts to impact and drive changes. However, it’s challenging to build these tools manually. Pulling information from multiple areas and putting it into a reporting tool requires additional time and resources.
Data analytics consulting services
Business intelligence services
Design and strategy development
Data organization and mining consulting
- Big Data: discovering, cleaning, structuring, mining, and analyzing
- Data architecture
- Machine learning modeling
- Data visualization and customized dashboards
- Data warehousing and ETL pipeline setups
- Cloud deployment
- Data management and security
Unicsoft specializes in planning, creating, and deploying custom data analytics solutions for businesses across multiple industries.
- Healthcare
- Banking and Finance
- Real Estate
- Insurance
- IT
- Human Resources/li>
- Construction
- Legal
- Nonprofits
- Government
Data analytics development follows a specific order
Defining the problem
Data extraction
Data preparation - data cleaning
Data preparation - data transformation
Research and data visualization
Predictive modeling
Model checking, testing
Deployment - visualization and interpreting the results
Deployment - deploying the solution
Iterative improvements and automation
Integrating with current cloud infrastructure
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