Data Management
Connect, Clean, and Shape Your Data, Your Way
Before any insight can be generated, your data needs to be connected, cleaned, and structured. SutiDAnalytics gives your team a full suite of data preparation tools so you spend time on analysis, not on fixing data.
DATA INTEGRATION & MERGE
Connect Any Source. Combine Any Dataset
SutiDAnalytics connects directly to relational databases including MySQL, PostgreSQL, SQL Server, and Oracle, as well as spreadsheets, cloud storage, and APIs. Built-in data cleansing validates and standardizes your data the moment it is connected, ensuring accuracy and consistency before any analysis begins.
Beyond connecting individual sources, the Merge Report feature lets you combine any two datasets into one unified report. Choose from four join types (inner, left, right, or full), select which columns to include, rename them to avoid conflicts, and let AI suggest a name for the merged output automatically.
Key Capabilities:
Connect databases, spreadsheets, cloud storage, and APIs
Built-in data cleansing for accuracy and consistency
Inner, left, right, and full join support
Best For: Data engineers combining CRM and financial data, analysts merging product data with sales records, BI teams unifying multiple department reports.
Instant Column-Level Intelligence on Every Dataset
Understanding your data before you analyze it saves hours of manual exploration. SutiDAnalytics adds a pinned statistics summary row at the top of every table automatically, giving you an immediate snapshot of what each column contains.
Numeric columns display a mini bar chart showing Min, Median, Mean, Mode, and Max values. Category columns show a horizontal bar chart with value counts and percentage distribution. Every column also shows Distinct, Unique, and Total counts. All statistics update live as you apply filters, so your summary always reflects exactly what you are looking at.
Key Capabilities:
Pinned statistics row on every table
Min, Median, Mean, Mode, Max for numeric columns
Count and percentage distribution for category columns
Distinct, Unique, and Total counts per column
Live updates as filters are applied
Best For: Analysts beginning a new dataset exploration, data quality checks before reporting, quick summaries for non-technical stakeholders.
Reshape Any Dataset without Writing a Single Query
Raw data rarely arrives in the shape you need for analysis. SutiDAnalytics gives you five powerful data modification tools that let you restructure, filter, and reshape your data directly in the platform. No SQL, no Python, no external tools required.
Customize Columns: Show, hide, reorder, and rename columns in your report using a simple checkbox panel. Control exactly what your team and stakeholders see without touching the underlying data.
Pivot Table: Reshape flat row-level data into a cross-tabulated view. Select your row groups, column group, and aggregation function (Sum, Average, Count, Max, Min, or Median) and SutiDAnalytics builds the pivot instantly.
Group By: Collapse rows with matching values into aggregated summaries. Define which columns to group, choose your aggregation method, and name your output columns exactly as you need them.
Bin By: Group continuous data into meaningful ranges. For numbers, choose fixed size bins, count-based bins, or define custom intervals. For dates, bin by week, month, quarter, or year. Ideal for cohort analysis and trend grouping.
Conditional Filtering: Build advanced filter rules using equals, contains, starts with, greater than, less than, between, and more. Combine multiple conditions using AND/OR logic to create precise filtered views of any dataset.
Key Capabilities:
Column visibility, ordering, and renaming
Pivot tables with six aggregation functions
Group By with named output columns
Bin By for numbers and dates
Conditional filters with AND/OR logic
Best For: Analysts reshaping raw exports, finance teams building summary views, operations teams filtering datasets by region, time period, or category.
No SQL. No Code. No Complexity.
Everything in Data Management is built for analysts and business users, not just developers. If you can click, you can prepare your data in SutiDAnalytics
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