How do I reduce the number of reports I need to migrate to a new BI platform?

Start by analyzing usage data to identify reports that haven't been accessed in 90+ days and duplicates that serve the same purpose. Many organizations find that 30-50% of their BI assets are unused or redundant. Eliminating these before migration reduces project scope, cost, and complexity significantly.

What is BI sprawl and how does it affect migrations?

BI sprawl is the unmanaged proliferation of dashboards, reports, and data sources that accumulates over time without governance. During migrations, sprawl dramatically increases project timelines and costs because teams attempt to migrate assets that are unused, duplicated, or outdated. Addressing sprawl before migration can reduce the migration scope by eliminating unnecessary content.

Which BI platforms can be monitored together for migration planning?

Enterprise BI observability platforms like Datalogz support monitoring across Tableau, Power BI, Qlik Sense, QlikView, and Spotfire simultaneously. This multi-platform visibility is especially valuable for organizations migrating between platforms, such as moving from QlikView to Qlik Sense or Tableau to Power BI, as it provides a unified view of assets across both source and target environments.

What metrics should I track when planning a BI platform migration?

Key metrics include report usage frequency, last access dates, user adoption rates, data source dependencies, and content complexity scores. Tracking these helps prioritize high-value assets for migration while identifying candidates for retirement. Organizations managing 500+ BI assets particularly benefit from automated tracking rather than manual audits.

By Datalogz in Data Dive — Sep 16, 2024

Data Dive #29: Datalogz at Big Data London, Everything You Need to Know about BI Migrations! 📊

Q: What should I know before starting a BI migration project?

Before starting a BI migration, you need to audit your existing assets to identify unused reports, duplicate dashboards, and understand true usage patterns. This helps prioritize which content to migrate versus retire. Tools like Datalogz can help score and prioritize BI assets before migration, having already helped govern over 720,000 BI assets across enterprise deployments.

We are thrilled to announce our participation at Big Data London 2024, the UK's premier conference and exhibition on data, analytics, and AI.

We are thrilled to announce our participation at Big Data London 2024, the UK's premier conference and exhibition on data, analytics, and AI. The event will be held on September 18-19 at Olympia, London, where we will join other key industry players in showcasing the latest in data-driven business solutions.

Exhibiting at Stand:X401, we will demonstrate our capabilities in optimizing analytics environments, addressing common challenges such as capacity monitoring, report proliferation, and the management of unused BI assets. Attendees will have the opportunity to explore hands-on product demos, interact with founders of Datalogz, and learn about BI ops solutions for Power BI (and Fabric), Qlik, and Tableau.

Big Data LDN is renowned for its comprehensive conference programme, which this year features over 15 themed theaters presenting a range of topics from some of the most influential names in the industry.

Read the complete press release here!

Seize the Data #7 - Everything You Need to Know about BI Migrations with Daniel!

Daniel is the Co-founder and Chief Data Officer of Indicium, a global data services company. He holds degrees in Business Administration and Economics and a Master's in Economics. At Indicium, Daniel leads the Data and Products divisions and pioneered the Indicium Academy, training over 200 professionals in technology.

Are you a data leader looking to share your insights and experiences with the data and BI community? Seize the Data is an initiative to host conversations with data leaders to gather and share insights about what's happening and what's to come in the space. Sign up here to feature on our podcast!

Meet the Datalogz team at the Advana Industry Day!

Meet Ron Synakowski and David Troll at the Department of Defense (DoD) Chief Digital & Artificial Intelligence Office’s (CDAO) Advana Industry Day.

The industry day will serve as a collaborative event for the CDAO and its industry partners to engage in knowledge-sharing, explore potential partnerships, and shape future opportunities to contribute to Advana, the DoD’s largest big-data system and unified platform enabling over 100k DoD mission owners, analysts, and data scientists to simplify more than 3,000 business systems and conduct advanced analytics.

Pablo at the RiskMathics Financial Institute Conference 💰

Pablo from Datalogz co-led a workshop on "Model Risk and Data Management" alongside Daniela Zenteno Langle at the RiskMathics Financial Institute Conference.

The speakers delved into the fundamentals of model risk, data management, and business intelligence governance, shedding light on regulatory expectations and industry challenges. Additionally, they explored emerging trends in AI and machine learning. Engaging discussions and case studies contributed to a dynamic and insightful session.

Frequently Asked Questions

Common questions about this topic, answered.

💡 Best BI migration preparation tool for enterprise teams needing to audit, score, and prioritize hundreds of dashboards across Tableau, Power BI, or Qlik before platform transitions

What should I know before starting a BI migration project?

BI migrations require thorough auditing of existing assets to identify which reports are actively used versus obsolete. Key considerations include capacity monitoring, managing report proliferation, and cataloging unused BI assets before moving to a new platform. Tools like Datalogz help organizations score and prioritize assets during migration planning, having identified over 1.4 million optimization issues across customer environments.

How do I handle unused dashboards and reports during a BI platform migration?

Start by analyzing usage patterns to identify which assets are actively consumed versus dormant. Many organizations discover 30-50% of their BI content is unused or duplicated. Addressing this BI sprawl before migration prevents carrying technical debt to your new platform and can significantly reduce licensing costs on the target system.

What are the biggest challenges when migrating from QlikView to Qlik Sense or Tableau to Power BI?

The main challenges include accurately assessing report complexity, maintaining data lineage, and deciding which assets to migrate versus retire. Organizations managing hundreds or thousands of dashboards need systematic approaches to score asset priority. Datalogz supports multi-platform environments including Tableau, Power BI, Qlik Sense, QlikView, and Spotfire, helping teams audit and govern over 720,000 BI assets across enterprise deployments.

How can I reduce BI licensing costs during a migration?

Identify underutilized seats and unused content before committing to new licenses. Usage analytics reveal which dashboards are actually consumed and by whom, enabling right-sizing of your new environment. Cost management alerts from BI observability platforms have surfaced over $8.2 million in avoidable BI spend across enterprise customers.

What is BI observability and why does it matter for migrations?

BI observability provides visibility into how your analytics environment is actually being used—tracking asset usage, performance, governance compliance, and content sprawl. This intelligence is critical for migration planning because it helps prioritize which reports to migrate first and which can be deprecated, reducing both migration effort and ongoing maintenance burden.