Exploratory data analysis (EDA) is the first, structured look at a dataset: checking its quality, summarising it and finding patterns, outliers and relationships, so you know what the data can and cannot support before investing in dashboards or AI.
Before investing in models or new initiatives, you need to understand what your data is really telling you. Our exploratory data analysis reveals distributions, trends, correlations and anomalies, and validates hypotheses with sound statistics.
Uncover patterns, trends, and opportunities hidden in your data. At Prominent AI Services LLP, we deliver exploratory data analysis end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.
Uncover patterns, trends, and opportunities hidden in your data.
Ideal for: Marketing, Retail, Government, Healthcare. We begin by mapping data sources and business questions, then design a scalable architecture, automate data quality checks and deliver analysis and dashboards in short iterations with business users involved throughout.
We work in Python (pandas, NumPy, Matplotlib, Seaborn, Plotly) and SQL, using Jupyter notebooks so every step is reproducible. Techniques include summary statistics, distribution and outlier analysis, missing-value analysis, correlation studies, segmentation and time-series decomposition. Findings can be shared as an interactive report or a Power BI dashboard.
EDA is usually a short, fixed-scope engagement. Follow-on options include data cleaning and preprocessing, advanced analytics and custom machine learning development. You can also hire data analysts for ongoing work.
Not sure what your data can tell you? Share a description of your datasets, and we will propose a short EDA engagement. Start your AI journey.
Common questions about our Exploratory Data Analysis services.
A clear report and interactive notebooks or dashboards summarising key findings, data quality issues and recommended next steps.
Most EDA projects take one to three weeks depending on the number of data sources and questions to investigate.
Yes. EDA often highlights predictable patterns and automation opportunities that become strong candidates for machine learning.
EDA is one of our smallest engagements. The price depends on the number of datasets and their size, and we quote a fixed fee once we know the scope.
We work with databases, spreadsheets, CSV and JSON files, data warehouses and data exported from SaaS tools such as CRMs and ERPs.
Yes. We can work inside your environment, use anonymised or masked extracts, and sign a non-disclosure agreement. Data is deleted from our systems when the engagement ends.
EDA explores and checks the data to see what it contains. Advanced analytics then builds models to explain or predict specific outcomes. EDA is usually the first step.
