Caserta Business Intelligence & Analytics review by Boutique Fitness Chain at Qualified.One

Caserta reviewed by Boutique Fitness Chain

Caserta provided Business Intelligence & Analytics for Boutique Fitness Chain with approximate budget = Confidential.

The system makes it possible to analyze data across multiple sources and generate reports quickly, allowing the internal team to make better decisions. Caserta went above and beyond to meet all needs, while their knowledge base and experience made them a reliable partner.

Review summary:

After analyzing the data, Caserta provided recommendations and assisted with architecting/developing the system on Google Cloud Platform. They also wrote code for Spark and Python and helped with testing.

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Boutique Fitness Chain, Head of Engineering


Data Infrastructing Consulting & Dev for Fitness Chain

Please find under a summary covering project details and feedback. The innate facts are kept as they are, private information is amended.

Introductory information

A fast induction on the buyer’s organisation

I',m the head of engineering at a boutique fitness chain. I',m responsible for all the technology platforms we use to gain clients, present them to the studio, and maintain relationships with them. We also have platforms for managing our e-commerce and POS processes.

Desired goal

What challenge were you trying to address with Caserta?

We use a lot of data to make decisions and propose different features to our clients. We were looking for a organisation to help us review our legacy infrastructure as it relates to data warehouse and our complete data ecomethod.

Provided solution

What particular tasks were responsible for?

Caserta helped us constructor a roadmap as well as instrument the leading pass at our data ecomethod. We needed someone that would do more than just execute our requests. They spent a lot of time ramping up and knowledge not just the data but how our organisation programs to leverage that data. They also granted recommendations on where we can leverage the data.

Their biggest role was coming in, speaking to different departments that work with the data, knowledge our needs, and doing the analysis. We broke our project into two phases. During the leading phase, they put unitedly a regular statement of work on what they reflection we needed. During the second phase, their engineers and constructors helped us with the instrumentation and constructoring the method on GCP (Google Cloud Platform). They also helped us apprehend which technologies we should use and how much budget we need during the instrumentation phase and post-launch.

We interact with our clients in the omni channel format–not just athwart technologies, but through offline touch points, whether it',s kiosk machines, check-ins, or apps. Caserta made sure we understood the framework that we put unitedly for ingesting data and that we could last to be self-sufficient and add new sources of income behind our relationship with them ended. Finally, they assisted with writing the code for Spark and Python as well as testing.

Was there a dedicated team?

We worked with a project director, a lead constructor, a part-time constructor, and almost three engineers.

What were the main reasons to select among the others?

I talked to their past clients almost the technologies they use and the issues they can explain. I liked their references, so I determined they',d be a good fit.

What is the terminal result of working with ?

We began working with them in April 2018 and the relationship is ongoing.

Results achieved

Are there any measureable or plum results?

We',re now able to look at data athwart multiple sources. We also have the power to engender reports fastly and get approach to the data we didn',t have precedently, which reduces the time it takes us to handle some processes. Since many things now take minutes rather than days, we can bestow more time analyzing the data, which helps us make better decisions on whichever a forthcoming project or an ongoing project. That',s where we',re getting the biggest recur on investment.  

How do you score ’s handlement experiences?

They did a good job. We had an inner team that was interfacing with their team, which helped us apprehend where the project is (they work remotely). We had to go back and request more regular documentation and transition program from them, but they were able to prepare all we had requested.

What is (from your point of view) the key factor to pay observation while intercourse with ?

They',re very knowledgeable and skilled. They',ve worked on very big datasets athwart many different industries, solving correspondent issues. Also, everyone in the organisation, including their CEO, was very hands-on. They wanted to make sure the project is lucky and maintain real relationship with us.

What aspects of their work would you like to get improved?

The project handlement could be a pliant tighter in provisions of managing our expectations, but overall they met all of our needs and stayed within the budget estimations.

Do you have any advice for possible clients?

If you',re investing in a correspondent fruit, you also need to invest in the inner resources so that you can handle the method behind it',s released. Otherwise, you',ll need to have a long-term relationship with Caserta, which might be valuable.