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DataOps Suite
The complete platform
Data Quality Monitor
Continuous quality monitoring
ETL Validator
ETL, ELT and migration testing
BI Validator
Dashboard and report testing
Test Data Manager
Compliant synthetic test data
Platform Overview
See how it works

DataOps Suite

Data Quality and Agentic AI platform that validates, reconciles, scores, monitors and remediates data from ingestion to BI and AI.

Why one platform

Agentic AI-powered test and rule creation
Agents generate data quality rules, validation tests and SQL from prompts, with your approval.
Data quality score per dataset
Shows the current score, what changed since the last run and the failing records behind it.
Validation and observability inside the pipeline
Every load is compared with its source, transformations are tested against business logic, and freshness, volume and schema changes are monitored.
Reports that match the source
Dashboard figures are compared with the source data behind them before users see them.
Test data without real records
Synthetic data that mirrors production replaces sensitive records in test environments.
Quality gates for releases
Pipeline and report changes are tested before they go to production.

Data Quality Monitor

Continuously profiles, validates and scores enterprise data, with Agentic AI that recommends rules and flags anomalies, so analytics and AI run on trusted data.

Capabilities

AI-recommended DQ rules and scoring
Agents suggest completeness, validity and uniqueness rules, with scores down to the column.
Data profiling
Analyzes distributions, patterns and frequencies to surface outliers.
AI-based observability
Agents monitor pipelines end to end, detect anomalies and suggest fixes.
Data catalog
Organizes models and tables in one catalog, with AI-drafted descriptions.
Data lineage
Traces data from origin to destination through every transformation.
Data quality issue tracking
Assigns every failing record to an owner and tracks it to resolution.

ETL Validator

Automates ETL/ELT testing, with Agentic AI that builds tests from mapping docs, confirming every record arrives complete, accurate and correctly transformed.

Capabilities

AI-generated ETL tests
Turns mapping docs into checks for joins, transforms and edge cases.
Source-to-target validation
Matches loaded data to the source, down to record counts and required fields.
Transformation validation
Verifies business logic with SQL, Python or Scala.
Migration validation
Checks schema, row counts and integrity for cloud migrations.
Metadata change audit
Catches schema and metadata discrepancies before they break pipelines.
Root cause and adaptive tests
Pinpoints where data broke, and agents update tests when mappings change.

BI Validator

Automates testing and governance for Power BI, Tableau and Oracle Analytics, with Agentic AI that builds tests from plain English and keeps reports accurate and reliable.

Capabilities

AI-created BI tests
Describe a test scenario in plain English, and agents build it.
Visual-to-source comparison
Compares the data behind every visual to the source using auto-generated SQL.
Regression and upgrade checks
Pixel-level comparisons across environments, with AI summaries of what changed.
Measure logic checks
Converts BI measures and calculations to SQL to confirm KPI logic.
Performance and load testing
Simulates concurrent users and measures load and refresh times.
BI governance
Finds unused measures, duplicate reports and orphaned tables.

Test Data Manager

Uses Agentic AI to detect and mask sensitive data and generate synthetic data that mirrors production, so teams can test without exposing real records.

Capabilities

AI synthetic data generation
Learns patterns from a small sample to create production-like data.
PII discovery and masking
Detects PII and PHI and replaces it with realistic fake values.
Relationship-aware data
Keeps linked tables connected with referential integrity.
Millions of records in minutes
Scales for load, stress and performance testing.
Multi-format output
CSV, Parquet or JSON, or loaded straight into test databases.
Compliant by design
Cloud or on-prem, supporting GDPR and HIPAA requirements.
Data Quality Use Case
The problem to solve
Cloud platforms
Warehouses, lakes and CRM
BI and analytics
Dashboards and reports
ROI calculator
Estimate the time and cost youโ€™ll save.
Financial services
SOX, BCBS 239 and NAIC MAR
Healthcare
HIPAA, EHR migration and APCD
Life sciences
GxP and 21 CFR Part 11
Manufacturing
ERP migration and supplier data
Retail and utilities
Settlement, pricing and NERC CIP
Higher education
FERPA, IPEDS and research data

Banking, Financial Services, and Insurance (BFSI)

Stop reporting errors before examiners find them, with every number traced from core system to board dashboard.

How Datagaps helps

Core platform migrations
Cut over banking and insurance platforms, including mainframe to cloud, without losing a record.
Regulatory reporting
Hold submissions until the data meets quality thresholds.
Financial reconciliation
Match GL to subledger automatically, with every break flagged.
Risk and credit data
Catch drift before risk, lending and pricing models degrade.
Dashboard attestation
Prove capital and board dashboards match the warehouse.

Healthcare

Keep claims and clinical data accurate through every migration, without exposing patient records in testing.

How Datagaps helps

EHR migrations
Confirm every record survives the move to Epic, Cerner or Oracle Health.
Claims data quality
Catch errors in claims and remittance feeds as they arrive.
APCD submissions
Check every file against state templates before you submit.
Clinical dashboards
Catch KPI and report changes after every refresh.
Provider directories
Keep provider listings accurate, current and audit-ready.

Life Sciences

Catch issues in clinical and real-world data before submission, and keep trial subject data out of test environments.

How Datagaps helps

Clinical data migrations
Move EDC, CTMS and LIMS data to the cloud without losses.
CRM migrations
Keep rebate calculations right through Veeva and Salesforce moves.
Pharmacovigilance data
Catch adverse event data issues before regulatory submission.
Commercial and clinical dashboards
Trace every KPI back to source clinical and lab records.
De-identified trial data
Keep subject data out of test, analytics and AI environments.

Manufacturing

Avoid broken ERP cutovers and supplier overpayments, and catch sensor drift before it hits production.

How Datagaps helps

ERP migrations
Move BOM, inventory and financial data across Oracle, SAP and cloud without breaks.
Supplier reconciliation
Catch overpayments and duplicate invoices with three-way PO, ASN and invoice matching.
Sensor data quality
Catch drift before it skews predictive maintenance and yield models.
Operations dashboards
Catch report breaks after every release or upgrade.
Safe ERP test data
Keep supplier pricing and production volumes out of lower environments.

Retail and Utilities

Catch settlement, inventory and pricing errors before your customers or regulators do.

How Datagaps helps

Settlement reconciliation
Match marketplace payout files to the general ledger, record by record.
Inventory accuracy
Keep POS, ERP and warehouse numbers in sync.
Pricing and promotions
Catch price and promotion mismatches across channels.
Reliability dashboards
Keep SAIDI and SAIFI reliability reporting accurate.
BI under load
Make sure reports hold up for thousands of concurrent users.

Higher Education & Research

Get enrollment, financial-aid and transcript data right before SIS cutover, before students feel it.

How Datagaps helps

SIS migrations
Validate moves from Banner or PeopleSoft to Workday Student or Ellucian.
Financial-aid reconciliation
Match aid and Bursar data to the general ledger.
Enrollment reporting
Keep census and admissions dashboards consistent from cycle to cycle.
Federal reporting
Monitor data quality ahead of IPEDS submissions.
Safe student data
Test and train AI without exposing real student records.

Trusted Data Summit

A practitioner summit focused on the validation, observability, governance, and reconciliation practices that determine whether enterprise data is ready for AI.

Save Your Spot
Nov 19th, 2026
Technology Partners
Cloud, data and BI platforms
SI Partners
Consulting and implementation

Become a partner

Resell, implement or co-deliver

Technology Partners

Datagaps works natively with the cloud, data and BI platforms your teams already run.

Our technology partners

SI Partners

Consulting and integration firms that deliver Datagaps validation for enterprise clients worldwide.

Our SI partners

Solutions

Use cases

Cloud platforms

BI and analytics

Power BI Bookmarks: Development, Configuration, and Testing Best Practices

Power BI Bookmarks: Development, configuration and testing plan

Power BI bookmarks are a report-development feature that captures a reportโ€™s current state โ€” including filters, slicers, visual visibility, and page navigation โ€” so developers can build interactive dashboards with minimal coding. As reports grow, however, bookmark management and testing become increasingly complex. This guide explains how Power BI bookmarks work, when to use options like Data, Selected Visuals, and Current Page, how to build dynamic slicer panels and forms, and the best practices for testing bookmarks to ensure accurate navigation, filters, and report functionality.

Key Takeaways

  • Power BI bookmarks capture report states including filters, slicers, visual visibility, sorting, focus mode, and page navigation, enabling interactive dashboards with low-code development.
  • Understanding bookmark settings such as Data, Current Page, All Visuals, and Selected Visuals is essential to prevent unexpected filtering and navigation issues.
  • Bookmarks combined with buttons and the Selection Pane can create advanced user experiences like dynamic filter panels, navigation menus, forms, and sales funnels.
  • Thorough bookmark testing is necessary to validate button actions, hidden visuals, filters, slicers, and navigation after report updates or regression testing.

Tableau, Power BI, OBIEE, Cognos, Qlikview, Looker, Micro Strategy, and other developing BI Visualization technologies have pushed business intelligence reporting to the next level in recent years. We mostly employed Excel and Web pages for reporting in the early years of this decade. At such a stage, the functionality and deployment options are limited.

In this new era of BI reporting visualization tools, including Tableau and Power BI, are investigating new possibilities of visualization, broadening the reach of management reporting and analysis to many levels.

In the process of empowering and including many web-based functionalities also with the low code environment in Power BI, bookmarks play an important role to enable many attractive and user-friendly functionalities.

Bookmarks are one of the most powerful features in Power BI. Bookmarks capture the state of the Report Page with Filters and Slicers state, visual state( visibility of the Visuals selected in the selection pane), sorting applied in Visuals, Focus, or Spotlight Mode too.

What is the Data option checked in the Bookmarks?

Data option in the Bookmarks enabled by default and it captures the data applied to the Filters, Slicers, or any other visuals on the page of the report.

Power BI Bookmarks: Development, Configuration, and Testing Best Practices
How to uncheck the data option in Bookmark?

Click on the three dots beside the bookmarks you can see data, display, Current Page, and All visuals options checked

Data tips: When the bookmarks are applied to a few visuals and filters on the same page then the visuals get filtered from one bookmark to another. To avoid this behaviour the bookmarks should be updated with the data unchecked.

How Do โ€˜All Visualsโ€™ and โ€˜Selected Visualsโ€™ Work in Bookmarks for a Power BI Report?

While applying the bookmark in a report by default โ€˜All Visualsโ€™ is selected because the bookmark applied should apply to all the visuals on the page.

Example:

If a report has an option to show the โ€˜Last Refresh Dateโ€™ which is the MAX(Date_table[Posted_Date]) and there should be a Reset Filters option to be applied on the page to reset all the filters applied for a better User experience.

Here, the Reset Filters button is created and applied with the Button Actions associated with the Bookmark. The Bookmark updates at the default state of the Filters, but some other visuals โ€” like the Last Refresh Date display โ€” do not need to be captured at that state.

Recommended approach: in a scenario like this Reset Filters example, All Visuals should be avoided in favor of Selected Visuals, so the bookmark only affects the visuals itโ€™s meant to reset rather than every visual on the page.

How do the Current Page option work in Bookmarks for a Power BI Report?

By default Bookmarks are updated to capture the state of the current page but if it is unchecked to capture the change on another page too.

The current Page option is a very unique feature to enable the Bookmark applied to another page which may be hidden or open which will eventually change the next page with the selection etc.

Magic Combination of Power BI:

Buttons, Bookmarks, and Selection pane are the magic combination that enables many features in the Power BI Reports. Buttons, Image, and Shape have six options to apply the action.

Button names can be modified and stored for four different states like 

  1. Default State โ€“ Text assigned to the default state will be always visible.
  2. On Hoverโ€“ Text applied to Hoover state will be visible only on mouse hover
  3. On Press โ€“ If the Button is clicked the text applied on the press is visible
  4. Disabled โ€“  Text assigned to this will be visible at Disabled state
attachment details

Available actions:

  1. Back
  2. Bookmark
  3. Page Navigation
  4. Drill Through
  5. Q&A
  6. Web URL

1.Back โ€“ Back action is a powerful option that can be used to come back to the same page after navigating to any page.

2.Bookmark: Linking of a created bookmark in the action to a button will apply the bookmarks when we click the button.

3.Page Navigation: Page Navigation action applied to the button navigates to another page or to the given function. Navigating to the given page is straightforward and the using function to navigate is also a good feature.

4.Drill Through โ€“ Drill through feature can be applied through this action

5.Q&A โ€“ Q&A option can be enabled with this button click action for a better user experience like a button with a name Queries can be used for this action.

6.Web URL โ€“ a given Web URL can be used for the external site navigation or an internal function can be used to enable it in the provided column.

Button Action What It Does
Back Returns the user to the previous page after navigating away.
Bookmark Applies a linked bookmarkโ€™s saved state when the button is clicked.
Page Navigation Navigates to another report page or a specified function.
Drill Through Applies the drill-through feature through the button action.
Q&A Enables a Q&A-style query experience, typically through a dedicated query button.
Web URL Navigates to an external website or triggers an internal function using the provided URL or column.

Bookmarks Slicer Panel:

Creating a dynamic Slicer Pane in power BI Reports :

Power BI Bookmarks: Development, Configuration, and Testing Best Practices
Step 1: Insert an image or button or shape for the ON Action
Power BI Bookmarks: Development, Configuration, and Testing Best Practices
Step 2: Select a shape to fix the filter within
Power BI Bookmarks: Development, Configuration, and Testing Best Practices
Step 3: Fix the filters in the shape
Step 4: Select the visuals in the selection pane and open the โ€˜On buttonโ€™ and open the โ€˜Off buttonโ€ 

Creating forms and Sales funnel forms with Bookmarks:

With the help of Bookmark features, a successful Sales funnel form for user requirements can be created with Low Code in Power BI reports. With the beautiful functionality of the Current Page option in Bookmarks, we can achieve many use cases which only are possible till now with different WordPress or Web applications or Forms in coding environments.

Letโ€™s discuss the Forms and Sales Funnel creation for user requirements in Power BI reports in detail in the next section.

Maintenance and testing of Bookmarks:

Bookmarks maintenance and testing become a tedious task after the creation of multiples of Bookmarks on each page in the report. 

Common issues at  Bookmarks maintenance and testing:

  1. In the process of development, if the team decides to change the button or the shapes attached to the bookmarks, the bookmarks assigned behind that will be idle and create confusion later in maintenance.
  2. In the regression testing Bookmark, testing takes time and needs to workaround in the reports and pages.
  3. Buttons are difficult to check whether the bookmark action applied to it and works as expected.
  4. Bookmark options when applied with data or filters need to be tested for which filters it has applied. Bookmarks applied on selected visuals need to be carefully checked for which selection it is applied to.

Bookmark testing :

Bookmark testing is not a straightforward task with Power BI. The following  steps should be followed:

  1. To test the Bookmark state, the button or image or the shape which has been assigned with Bookmark has to be tested whether the action to the same has been applied in the Power BI format actions.
  2. The action may be on but the bookmark might not be assigned or not properly assigned.
  3. If the bookmark is assigned in the action to the button then the bookmark state has to be played and tested.
  4. Some visuals, forms, buttons, and images in the selected pane may need to be deleted as of a result of bookmark development and revisions.
  5. Hidden slicers in a selected form have an impact on the data presented in this report. If the data displayed in a table contains 1000s of entries, and if Slicers are applied to it, data presentation errors may arise on each visual.

If youโ€™re looking for BI Testing Tools to automate your report testing, BI Validator can help. Please request a demo to see it in action

Conclusion:

Power BI bookmarks make interactive, low-code dashboards possible, but that simplicity hides real complexity underneath. Settings like Data, Current Page, and All Visuals vs. Selected Visuals quietly shape how a bookmark behaves, and small misconfigurations can silently break navigation or filtering. Every report update risks disconnecting a buttonโ€™s action from its intended bookmark state. The real cost isnโ€™t an error message โ€” itโ€™s a user seeing incorrect data with no visible warning. Thatโ€™s why bookmarks should be treated as testable logic, not just a UI feature. Building a consistent regression testing process, rather than manually re-checking after every change, is what keeps this complexity from turning into risk. Tools like BI Validator can help automate that process at scale.

Frequently Asked Questions

1) What are bookmarks in Power BI?

Power BI bookmarks save the current state of a report page, including filters, slicers, visible visuals, sorting, and navigation settings. They are commonly used to build interactive dashboards, navigation menus, and guided report experiences.

2) What is the difference between โ€˜All Visualsโ€™ and โ€˜Selected Visualsโ€™ in Power BI bookmarks?

All Visuals applies the bookmark to every visual on the report page, while Selected Visuals affects only the visuals you choose. Using Selected Visuals helps avoid unintended changes to unrelated charts, KPIs, or filters.

3) Why is bookmark testing important in Power BI?

Bookmark testing ensures that buttons, filters, slicers, hidden visuals, and page navigation work as expected. It also helps identify broken bookmark links, incorrect filter states, and regression issues introduced during report development or maintenance.

4) How can bookmarks improve the user experience in Power BI reports?

Bookmarks enable developers to build dynamic filter panels, interactive navigation, drill-through experiences, forms, pop-ups, and guided report flows without extensive coding, making dashboards easier and more intuitive for end users.

Get Started Today

Talk to a datagaps expert

Rajesh Kumar A
Rajesh Kumar A

Digital Marketing Manager, Datagaps

Digital Marketing Manager at Datagaps. Drives data-driven growth through content, performance campaigns, and marketing technology.

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Subrahmanya Narayana Chirravuri

Senior Director, Technology, Datagaps

Senior Director of Technology at Datagaps. Leads engineering for the ETL, BI, and data-quality validation platforms.

Established in the year 2010 with the mission of building trust in enterprise data & reports. Datagaps provides software for ETL Data Automation, Data Synchronization, Data Quality, Data Transformation, Test Data Generation, & BI Test Automation. An innovative company focused on providing the highest customer satisfaction. We are passionate about data-driven test automation. Our flagship solutions, ETL Validator, DataFlow, and BI Validator are designed to help customers automate the testing of ETL, BI, Database, Data Lake, Flat File, & XML Data Sources. Our tools support Snowflake, Tableau, Amazon Redshift, Oracle Analytics, Salesforce, Microsoft Power BI, Azure Synapse, SAP BusinessObjects, IBM Cognos, etc., data warehousing projects, and BI platforms.  Datagaps

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Data Quality Monitor

Continuously assess, score, and improve your enterprise data quality using rule-based and AI-powered validation
Automated Data Quality Checks at Scale

Validate uniqueness, completeness, domain accuracy, and detect orphan records.

AI-Driven Anomaly Detection and Alerts

Identify data drift and outliers using ML-based statistical methods and IQR-based profiling.

Low-Code Rule Configuration with Data Rule Wizard

Create and deploy validation rules quickly without coding, even across large datasets.

Graphical Scoring and Monitoring Dashboard

Visualize data quality trends across models, tables, and records with actionable insights.

CI/CD and Cloud Integration Ready

Enable continuous validation across pipelines using integrated APIs and DevOps compatibility.

Test Data Manager

Generate high-quality synthetic test data securely while maintaining regulatory compliance with HIPAA, GDPR, and CCPA
AI-Powered Synthetic Test Data Generation

Automatically create realistic data based on patterns in production while masking PII/PHI.

Reduced Cost and Time for Test Data Preparation

Eliminate manual rule-writing and speed up test readiness for complex use cases.

Support for Diverse Data Formats and Models

Generate millions of records in JSON, XML, CSV, relational, or hierarchical formats.

Secure, Policy-Driven Data Masking

Ensure sensitive fields are protected using deterministic, reversible, or random masking.

Flexible Deployment Across Cloud or On-Prem

Deploy within your secure environment and integrate into automated pipelines seamlessly.

ETL Testing

Maximize the efficiency, quality, and reliability of your data pipelines through intelligent automation, validation, and scalability.
100% Data Validation Across Pipelines

Validate billions of records using Spark-powered parallel execution across on-prem and cloud sources.

Accelerated Migration and QA Cycles

Reduce migration testing time by up to 60% and QA costs by 30% with automated workflows.

Automated Metadata and Transformation Testing

Detect schema mismatches and ensure business rules are correctly applied via AI-assisted validation.

Seamless Collaboration and Governance

Enable role-based access, ALM integration, and shareable web reports to unify cross-team efforts.

Low-Code/No-Code Test Creation with AI

Empower both technical and business users to build, schedule, and execute validations using prompt-based automation.

BI Validator

Ensure accuracy, performance, and security of your Business Intelligence dashboards and reports across platforms like Tableau, Power BI, and Oracle Analytics
Automated Regression Testing Across BI Reports

Detect broken visuals or logic changes post-upgrade and data refreshes.

Cross-Platform Validation of Reports and Dashboards

Compare visuals and data across environments and BI tools with zero manual effort.

Performance and Load Testing for BI Assets

Simulate concurrent user access to measure response times and report load failures.

Access and Security Validation

Ensure only authorized groups have access to the correct records and reports.

Aesthetic and Metadata Change Detection

Identify formatting inconsistencies, filter changes, and layout drift with each release.

Products

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DataOps Suite

Intelligent Data Validation and Analytics Testing Platform with Agentic AI.

ETL Validator automated ETL testing tool

ETL Validator

Automated Data Validation and ETL Testing with Agentic AI.

BI Validator automated BI testing tool

BI Validator

Smarter BI Validation For Power BI, Tableau, Oracle Analytics โ€“ Accelerated by AI Agents.

Data Quality Monitor software

DQ Monitor

Proactive Data Quality with Agentic AI โ€“ Predict, Prevent, Govern.

Test Data Manager software

Test Data Manager

Generate compliant and realistic test data for all your testing needs, enabled by Agentic AI.

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