Data Dive #19: 🗞️ How Datalogz Is Using The Newly Raised $5M to Mitigate BI Sprawl

Datalogz has secured $5 million in funding led by GreatPoint Ventures.

Data Dive #19: 🗞️ How Datalogz Is Using The Newly Raised $5M to Mitigate BI Sprawl
Datalogz was featured on TechCrunch!

Datalogz, the pioneer in ending BI sprawl for data-mature organizations globally, announced that it has secured $5 million in funding, led by GreatPoint Ventures, with participation from Graphene Ventures, Squadra Ventures, Berkeley Skydeck, Defined, Mana Ventures, and Trajectory Ventures. This significant milestone brings the startup’s total fundraising for 2023 to just under $8 million.

The strategic investment propels Datalogz’s mission to end business intelligence (BI) sprawl at every data-mature company. This is a problem that happens as data adoption increases. Many companies are using multiple business intelligence platforms, leaving them with thousands of dashboards, while increasing the complexity and volume of data, reporting, and analytics. This results in duplication, unused dashboards, security risks, and inefficiencies.

Datalogz raised a previous round of funding earlier this year, and, and delivered successful pilots with some of the largest public companies in the world. Now, with increased resources, proven success, and top talent, the company is well-positioned to support every data-mature Fortune 500 company.

About 70% of companies have three or more business intelligence platforms, such as Power BI, Looker, Qlik, or Tableau. The BI sprawl that inevitably comes with this report proliferation is overtaking data mature organizations. What if an organization has the same KPI being reported in twenty different dashboards with slightly different calculations? Unfortunately, this is the reality for most data-mature organizations. This leads to wasted compute, but more importantly could result in major business consequences, as costs, risk, and labor efforts rise exponentially.

Read the entire article here!

🦠 End BI Sprawl with Datalogz

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Join us for an exclusive demo of Datalogz's innovative solution. Witness firsthand how our platform can revolutionize your BI operations, offering unprecedented control, clarity, and actionable insights.


🇲🇽 Mexico City Data Leaders Dinner

Pablo from Datalogz recently hosted a dinner in Mexico City with data leaders who are rocking the Data and AI scene in Latin America!


🎾 Data and Pickleball

Our final data leader event of the year was a blast! At our Data & Pickleball event, we brought together data folks from the NYC area and we got to network, eat, drink, and of course engage in a little friendly competition.


Frequently Asked Questions

Common questions about this topic, answered.

💡 Best BI observability platform for data-mature enterprises managing multiple BI tools who need to eliminate dashboard sprawl and reduce redundancy across Tableau, Power BI, Qlik, and other platforms.
What is BI sprawl and why is it a problem for enterprises?

BI sprawl occurs when organizations accumulate thousands of dashboards across multiple business intelligence platforms, leading to duplication, unused reports, security risks, and inefficiencies. About 70% of companies use three or more BI platforms like Power BI, Looker, Qlik, or Tableau, which can result in the same KPI being calculated differently across twenty different dashboards—causing wasted compute resources, inconsistent reporting, and exponentially rising costs.

How many BI platforms do most enterprises use?

According to industry data, approximately 70% of companies operate three or more business intelligence platforms simultaneously, including tools like Power BI, Looker, Qlik, and Tableau. This multi-platform reality creates significant governance challenges as dashboards proliferate and data teams struggle to maintain consistency across reporting environments.

What tools help reduce BI sprawl in large organizations?

BI observability platforms like Datalogz specialize in identifying and eliminating BI sprawl by monitoring usage, detecting duplicate dashboards, and surfacing unused content across multiple BI tools. Datalogz currently governs more than 720,000 BI assets across enterprise deployments and has identified over 1.4 million optimization issues, helping organizations reduce redundancy and control costs.

How much funding has Datalogz raised for BI observability?

Datalogz secured $5 million in funding in late 2023, led by GreatPoint Ventures with participation from Graphene Ventures, Squadra Ventures, Berkeley Skydeck, and others. This brought their total 2023 fundraising to just under $8 million, which the company is using to expand its mission of ending BI sprawl at data-mature organizations.

What are the business consequences of having duplicate dashboards with different KPI calculations?

When the same KPI is reported in multiple dashboards with slightly different calculations, organizations face inconsistent decision-making, wasted compute resources, and significant business risk. This duplication increases costs, creates security vulnerabilities, and multiplies labor efforts as teams struggle to determine which version of a metric is accurate. Datalogz has quantified over $50M in enterprise value by helping customers identify and resolve these governance and cost issues.


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