Custom big data services
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Big data consulting
Leverage our big data consulting services to assess and optimize your current big data solution, define a product strategy, and identify best-fit technologies that will help you convert your data into revenue opportunities.
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Data infrastructure & engineering
Create data warehouse and data lake solutions, as well as streamline ETL development, execution and management tasks by building data pipelines that transform raw data into curated datasets which can be easily retrieved for further processing.
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BI & data analytics
Make better and faster decisions by accelerating your time to insights using breakthrough business intelligence tools and leveraging a data science approach that comprises statistical and machine learning techniques.
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Data visualization
Gain 360-degree visibility into your data with interactive reports and intuitive dashboards that make analytics understandable and manageable for everyone at every level of your organization.
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Data security
Protect your data from intentional and accidental destruction, modification, or disclosure by adhering to security standards, developing a tiered access system, and ensuring efficient backup and recovery processes.
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Data monetization
Embed analytics into your products and services to reveal insights that enable you to improve your overall business performance, strengthen customer loyalty, and help you detect new growth opportunities.
Uncover operational insights from previously untapped data sources
Additional benefits of working with Intellias
Big Data Center of Excellence with leading experts to conquer the most challenging tasks
Extensive AI skill set for accurate predictions based on data modelling
Profound cloud competency covering the AWS, Microsoft Azure, and Google Cloud platforms
Top-tier UI/UX expertise to present complex data to users in a visually appealing manner
Our approach
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1
Define the problem
Assess your business environment and performance to identify key goals and challenges
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2
Collect data
Gather data in different formats from multiple sources to address identified goals
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3
Prepare data
Evaluate data quality and remove inaccurate records to structure data for further analysis
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4
Analyze data
Develop analytical algorithms to discover useful insights for making business decisions
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5
Incorporate in business
Integrate analytical algorithms into your production environment to unlock new opportunities
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6
Validate the results
Continuously assess the performance of your algorithms and make adjustments if necessary
1
Define the problem
Assess your business environment and performance to identify key goals and challenges
2
Collect data
Gather data in different formats from multiple sources to address identified goals
3
Prepare data
Evaluate data quality and remove inaccurate records to structure data for further analysis
5
Incorporate in business
Integrate analytical algorithms into your production environment to unlock new opportunities
6
Validate the results
Continuously assess the performance of your algorithms and make adjustments if necessary