Abandoned shelfware. It happens to the best of us…
You know the drill: In the world of enterprise Data Management, integrating a legacy Data Quality platform is generally perceived as a daunting initiative. Often seen as a complex, resource-intensive process, enterprises invest a lot of time, money, and planning to implement traditional Data Quality solutions.
We’ve heard this across industries: They attempt to implement legacy Data Quality tools or they try to build their own homegrown solution. Ultimately, both end up being way too cumbersome to actually adopt and their Data Quality initiative falls flat.
They’re frustrated, left with shelfware collecting dust because they’re stuck with an obsolete solution that can’t do what they need it to do:
- They can’t customize the types of business-specific checks to analyze their data properly.
- They can’t write the checks fast enough for the enterprise scalability required.
- They can’t sustain the ballooning costs of managing and maintaining it.
And that’s when they discover Lightup.
Lightup is changing the Data Quality Monitoring adoption cycle from the ground up.
How?
By providing a user-friendly, flexible, affordable solution that enables enterprises to start small with one or two high-priority Data Quality issues (you know, the ones escalated to the CEO), and think big with incremental changes that make a huge impact on the business.
Break Free From Legacy: Lightup’s Lean Approach
Historically, adding a Data Quality tool has been viewed as a massive effort, especially when considering a blanket implementation across the entire enterprise.
Lightup takes a leaner approach, eliminating complexity at every turn. We’re flipping the script by making Lightup easy to use, intuitive, and budget-friendly. This allows enterprises to get started quickly by focusing on specific use cases with high impact.
Whether that involves just one, two, or hundreds of problematic business-critical tables, Lightup connects to virtually any data source quickly and easily, enabling you to get up and running on day one.
The best part? Lightup helps enterprises stay lean — no specialized team of experts required.
Business-specific Checks
Lightup goes deep into business operations use cases, catering to your enterprise’s business-specific checks. Designed to address the unique Data Quality needs of enterprises, Lightup provides prebuilt no-code checks, easy-to-use low-code checks, and customizable SQL checks that allow you to capture intricate business logic, without fussing with different query syntax requirements for each data source.
Lean Budgets
Unlike legacy Data Quality solutions that come with a hefty price tag, Lightup’s pricing model enables enterprises to start small and scale up as needed.
This means enterprises don’t have to break the bank to invest in a Data Quality Monitoring Solution. They can think small, making it feasible and more realistic for organizations with lean budgets, since they can focus exclusively on the highest impact use cases, first.
Fast Implementation
Implementing a Data Quality solution has never been faster, especially compared to homegrown solutions and legacy tools. Lightup allows enterprises to address their high-priority Data Quality use cases, quickly.
Whether it’s a few problematic tables or a more extensive issue, Lightup lets you write the necessary checks in minutes to prevent future occurrences.
No Specialized Skills Required
Unlike legacy Data Quality platforms, Lightup eliminates the need for specialized expertise. Because anyone can write no-code checks without learning a proprietary rule engine, enterprises can scale up their Data Quality efforts without resource-constraints or unnecessary bottlenecks.
Start Fast, Think Small, Scale Big
Lightup encourages enterprises to start small with specific instances that demand immediate attention, which helps prevent software from becoming shelfware — a common fate for legacy solutions. (See how and why McDonald’s replaced their legacy Data Quality solution with Lightup.)
Because Lightup addresses “fire drill-level” use cases quickly, enterprise organizations can scale up their Data Quality efforts incrementally as each problem is “extinguished” and leadership teams see immediate results.
With Lightup’s lean alternative to legacy solutions, enterprises can start fast, while taking a pragmatic and incremental approach to tackle their Data Quality challenges. This helps ensure their investments are meaningful, scalable, and deliver tangible results in days, not months — without the headache of a full-blown legacy Data Quality implementation.
Resources
Questions? Email us at info@lightup.ai or book a free strategy consultation and demo now.
See how Lightup can help extinguish your latest Data Quality fire drill, start a free 30-day trial today.
