Analysis, engeering & reporting
Analyze data sets to gather accurate information, build systems for collecting, validating, and preparing that high-quality data and use for reporting.
Leverage data and gain real-time insights that improve decision-making and accelerate innovation.
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What We Provide:
Data Analysis
Process of inspecting, cleansing, transforming, and modeling data to help companies make better decisions.
Data Engineering
Design and build pipelines that transform and transport data into a highly usable state.
Data Visualization
Representation of data through use of common graphics, such as charts, plots, infographics, and even animations.
Best Practices for implementation
Stages of Data Analysis
Stages in data analysis involves extracting insights from data; identify new opportunities, leading to growth!
- Prepare and Ask Right Questions
- Raw Data Collection
- Data Cleaning
- Analyzing The Data
- Interpreting The Results
Data Engineering
It involves creating pipelines, and makes it possible to take huge amounts of data and translate it into insights. Data engineering is a important part of company growth, and predicting future trends!
- Get Data from Multiple Sources
- Data Cleansing at Scale
- Organize Data
- Data Matching and Deduplication
- Streaming New Data as It Changes
Data Reporting
Process of collecting and formatting raw data and translating it into a digestible format to assess the ongoing performance of your organization!
- Choose the correct audience for the reports
- Prepare the report with analysis in mind.
- Create effective data visualizations
- Adapt BI reporting process to advances in technology and changes in business needs