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We transform good data leaders into great ones.

4.6
6 reviews

We transform good data & analytics leaders into great ones so that you can build faster, grow your business, generate more revenue and spend more time with your family.

-->Schedule a brief discovery call with us to learn more about how we can help you: [email protected]. We'll learn more about your firm, your data and analtyics initiatives and share with you how we've helped similar companies.

Faster. More Cost-effective. Future-proof.

Our lean teams of relentlessly talented engineers and architects complete projects in months—not years—and with a lower total cost than doing it in-house or off-shore.

Our core services are data ecosystem architecture and implementation.

  • Cloud migration and cloud ecosystem re-architecture
    • Data Lakes, Data Warehousing, ETL Orchestration
  • Data Governance & Master Data Management
  • Data Science — Machine Learning & Artificial Intelligence
  • Data Monetization

Verticals of Focus

We help firms in every vertical with their data and analytics intiatives including:

  • Banking, Financial Services, Insurance
  • Healthcare: Provider, Payer & Life Sciences
  • Education
  • Manufacturing & Supply Chain
  • Media & Entertainment
READ MORE...
 
$75,000+
 
Undisclosed
 
50 - 249
 Founded
2001
Show all +
New York, NY
headquarters
  • 501 Fifth Avenue
    New York, NY 10017
    United States
    8557552246

Portfolio

Key clients: 
New York Times, Capital One, Equinox, AARP, HBO, Humana, Liberty Mutual

Reviews

4.6
6 reviews
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Data Lake Consulting for Financial Services Firm

“They came up with a great plan and efficiently executed it, building a functional and effective product.”

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5.0

Quality: 
4.5
Schedule: 
5.0
Cost: 
4.5
Willing to refer: 
5.0
The Project
 
$200,000 to $999,999
 
Nov. 2017 - Ongoing
Project summary: 

Caserta used AWS to build a data lake to better process and analyze big and alternative data. They tailored the solution to specific project goals and integrated other services (i.e. Redshift, Amazon S3).

The Reviewer
 
51-200 Employees
 
New York Metro Area
CIO, Financial Firm
 
Verified
The Review
Feedback summary: 

Caserta is highly skilled and well-trained in cloud-based technology. They quickly launched the platform, and end users are extremely satisfied with it. The team maintains constant communication and is always available.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

I’m the CIO at a long/short equity hedge fund. I manage all of the software dev and data analytics.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Caserta?

We’d built a robust traditional hedge fund software platform and wanted to get involved in big data and alternative data analysis. We didn’t want to use a traditional relational database; we wanted a cloud-based approach but didn’t have the in-house expertise to build it ourselves.

SOLUTION

What was the scope of their involvement?

We talked to Caserta about our goals, and they did a week-long dive into our data lake. We went through potential use cases, and they helped design and architect the data lake, using AWS. We also discussed using different processing layers and scheduling orchestration tools, giving us a comprehensive platform blueprint. We considered using a pre-made data lake platform, but they weren’t flexible enough, and Caserta came up with an excellent outline.

Once we agreed on a proposed blueprint, Caserta provided a few consultants to work with our in-house team to build the infrastructure and write the code. They helped train our team members to get them up to speed on our project. After that, we began to generate our first set of analyses for our portfolio managers.

As we worked on the project, Caserta suggested we use Databricks as our Spark layer to process the larger datasets. We wanted to be able to scale, so they recommended elastic computing to easily control the cluster of Spark machines. We also use AWS Redshift, and our processing generates parquet files that are stored on Amazon S3. We use MicroStrategy to manage our internal components, and Caserta uses Tableau for interactive visuals that the analysts and portfolio managers want. They also recommended Airflow as our orchestration server for the cloud.

What is the team composition?

They provide two expert resources in Python and data analytics and bring in different experts, depending on the phase of the project. We also interact with Joe (Founder, Caserta).

How did you come to work with Caserta?

Joe was the keynote speaker at a conference a while back, and he had a great approach to handling alternative data. He knew how to approach larger datasets and build data lakes, so we got in contact and eventually hired them.

How much have you invested with them?

We’ve spent around $700,000.

What is the status of this engagement?

We partnered in November 2017, and the work is ongoing.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

We planned on only working together for six months, but the project went so well and we had so much work coming in that we’ve extended the partnership. Our investment analysts are happy with the work, and the platform has changed how our investment team processes and analyzes data. This has now become a competitive space, and Caserta helped us get to market much faster than if we’d done this by ourselves.

How did Caserta perform from a project management standpoint?

A few of the consultants work on site with our team, so we haven’t had any problems communicating with them. We have a weekly call with Joe and regular check-ins. We meet in person every few months to discuss trends, progress, and any issues. They’re always accessible, and I’m happy with our relationship.

What did you find most impressive about them?

Lots of people understand big data tools, but Caserta has the ability to both architect and execute an effective solution. Not every team can do both tasks well. They came up with a great plan and efficiently executed it, building a functional and effective product.

Are there any areas they could improve?

They should widen their areas of expertise. Right now, AWS is their strongest skillset, but they should focus on other platforms, like Google Cloud.

Do you have any advice for future clients of theirs?

Have well-defined goals and know what your objectives are. Caserta’s a great team; you just need to point them in the right direction.

5.0
Overall Score They’re one of the best consulting firms I’ve worked with.
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • 4.5 Cost
    Value / within estimates
    They’re expensive but worth the price. They work hard for their money.
  • 4.5 Quality
    Service & deliverables
    There's always room for improvement, but they're high quality.
  • 5.0 NPS
    Willing to refer
    I’d definitely recommend them.

Data Infrastructing Consulting & Dev for Fitness Chain

“... everyone in the company, including their CEO, was very hands-on.”

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4.0

Quality: 
4.5
Schedule: 
5.0
Cost: 
4.0
Willing to refer: 
5.0
The Project
 
Confidential
 
Apr. 2018 - Ongoing
Project 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.

The Reviewer
 
1001- 5000 Employees
 
New York Metro Area
Head of Engineering, Boutique Fitness Chain
 
Verified
The Review
Feedback summary: 

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.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

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

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Caserta?

We use a lot of data to make decisions and offer different features to our clients. We were looking for a company to help us review our legacy infrastructure as it relates to data warehouse and our entire data ecosystem.

SOLUTION

What was the scope of their involvement?

Caserta helped us architect a roadmap as well as implement the first pass at our data ecosystem. We needed someone that would do more than just execute our requests. They spent a lot of time ramping up and understanding not just the data but how our company plans to leverage that data. They also provided recommendations on where we can leverage the data.

Their biggest role was coming in, speaking to different departments that work with the data, understanding our needs, and doing the analysis. We broke our project into two phases. During the first phase, they put together a formal statement of work on what they thought we needed. During the second phase, their engineers and architects helped us with the implementation and architecting the system on GCP (Google Cloud Platform). They also helped us understand which technologies we should use and how much budget we need during the implementation phase and post-launch.

We interact with our customers in the omni channel format–not just across 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 together for ingesting data and that we could continue to be self-sufficient and add new sources of revenue after our relationship with them ended. Finally, they assisted with writing the code for Spark and Python as well as testing.

What is the team composition?

We worked with a project manager, a lead architect, a part-time architect, and about three engineers.

How did you come to work with them?

I talked to their past clients about the technologies they use and the problems they can solve. I liked their references, so I decided they'd be a good fit.

What is the status of this engagement?

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

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

We're now able to look at data across multiple sources. We also have the ability to generate reports quickly and get access to the data we didn't have before, which reduces the time it takes us to manage some processes. Since many things now take minutes rather than days, we can spend more time analyzing the data, which helps us make better decisions on either a future project or an ongoing project. That's where we're getting the biggest return on investment.  

How did they perform from a project management standpoint?

They did a good job. We had an internal team that was interfacing with their team, which helped us understand where the project is (they work remotely). We had to go back and request more formal documentation and transition plan from them, but they were able to provide everything we had requested.

What did you find most impressive about them?

They're very knowledgeable and experienced. They've worked on very large datasets across many different industries, solving similar problems. Also, everyone in the company, including their CEO, was very hands-on. They wanted to make sure the project is successful and maintain positive relationship with us.

Are there any areas they could improve?

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

Do you have any advice for potential customers?

If you're investing in a similar product, you also need to invest in the internal resources so that you can manage the system after it's released. Otherwise, you'll need to have a long-term relationship with Caserta, which might be costly.

4.0
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • 4.0 Cost
    Value / within estimates
  • 4.5 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

Data Architecture Consulting for Fitness Enterprise

"Every engineer that we interacted with was impressive." 

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4.5

Quality: 
4.5
Schedule: 
4.0
Cost: 
4.5
Willing to refer: 
5.0
The Project
 
$1,000,000 - $9,999,999
 
Dec. 2015 - Dec. 2016
Project summary: 

Caserta transitioned a platform from an on-site data warehouse to the cloud-based, Amazon Redshift system. They also acted as a dev ops consultant and instituted an iterative development process.

The Reviewer
 
10,001+ Employees
 
New York Metro Area
CIO, Fitness Enterprise
 
Verified
The Review
Feedback summary: 

Cost savings and business responsiveness both improved mightily thanks to Caserta. Their consistent communication and honesty allowed them to forge a collaborative partnership with in-house resources. Although they could expand their offerings, their hiring process has yielded top-level talent.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

I’m the CIO of a group of fitness brands that’s also looking to expand into the hospitality industry.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Caserta?

We were working with a partner that had a next-generation data warehouse in place and we were re-platforming onto an SQL and Teradata platform. About a year into initiative though, we realized we were going the wrong direction. We needed someone to help us re-think, re-architect, and completely re-platform us into AWS Redshift.

SOLUTION

What was the scope of their involvement?

They moved us from our existing platform into an AWS Redshift setup which helped us get up and running. They also helped us from a development operations point of view by developing the right practices and processes for iterative, ongoing development. We’d been used to a Waterfall methodology, so our warehouse would only be updated a few times a year; this was a big event.

What is the team composition?

There was project manager, and at the peak, they had five or six engineers working in parallel with our internal team.

How did you come to work with Caserta?

We’d worked with the founder of the firm when he was at another company. After he left, we stayed in touch, and then we heard that he’d started Caserta.

How much have you invested with them?

We spent over $1,000,000.

What is the status of this engagement?

We worked together from Dec. 2015–Dec. 2016.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

It’s the cost savings, first and foremost. We were on an expensive, on-premise piece of data infrastructure with high licensing when they transitioned us to a cloud-based system. They implemented the right processes and pieces of technology to allow us to be much more iterative and nimble in how we release changes and add enhancements. Ultimately, we’re far more responsive to our business needs and have better methods. Now, a new analysis, report, or data source only takes days or a week to get plugged in, instead of several months.

How did Caserta perform from a project management standpoint?

They were tightly integrated with our team and were on-site a good amount of the time, which was really important. We had regular status calls the check in, and both sides raised issues immediately if they found them. We had some issues and setbacks—like any complex project does—but there was no material or budgetary overage or timeline slippage.

What did you find most impressive about them?

The quality of their talent is definitely their differentiator. They're not a big shop, but they’re a lean, tight shop. Every engineer that we interacted with was impressive.

Are there any areas they could improve?

I know they’re more of a niche player, but they’d benefit from diversifying their skill set—expanding to other database platforms and technologies. It would allow them to become more of a one stop shop for clients versus a specialty outfit.

4.5
Overall Score
  • 4.0 Scheduling
    ON TIME / DEADLINES
  • 4.5 Cost
    Value / within estimates
  • 4.5 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

Data Architecture Consulting for Finance Firm

"Their analyses are focused and yield helpful recommendations in a very short amount of time."

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4.5

Quality: 
4.5
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$200,000 to $999,999
 
Dec. 2017 - Ongoing
Project summary: 

After analyzing data architecture, Caserta set up a new cloud-based platform. The team executed an Extract, Transform, and Load process. Project components include proofs of concept and an AWS infrastructure.

The Reviewer
 
201-500 Employees
 
Minneapolis, MN
Steve Stryker
CTO, Värde Partners
 
Verified
The Review
Feedback summary: 

Caserta has created a functional and cost-effective platform that encourages future growth. Proactive leadership, insightful guidance, and transparent communication are hallmarks of the partnership. Perhaps too confident, the team is knowledgeable and competent at a wide range of technologies.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

I’m the CTO of Värde Partners, an alternative asset manager that focuses primarily on distressed credit investing.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Caserta?

We wanted a vendor with deep technical expertise and experience in the financial services industry.

SOLUTION

What was the scope of their involvement?

In December 2017, we brought them in to do assess our current data architecture solutions. Caserta then recommended a new technology platform and a year-long roadmap for its development. Then, in February 2018, we hired Caserta to execute the proposed roadmap. To build the platform, the team set up an Amazon Web Services (AWS) cloud structure, ran proofs of concept with a couple products, and used that information to drive selection and data modeling. Finally, Caserta did the Extract, Transform, and Load (ETL) work to pull data out of our transactional systems and into the warehouse.

What is the team composition?

They had a three-person team including two data engineers. The project manager also served as the senior technical architect. We worked with a business analyst at first, but later decided to fill that role in-house.

How did you come to work with Caserta?

They had partnered with some of my colleagues in the industry. I reached out because I knew they had considerable technical experience.

How much have you invested with them?

We’ve spent close to $500,000.

What is the status of this engagement?

We started working together in December 2017 and the relationship is ongoing.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

Caserta has enabled our technical capabilities to grow, which sets us up for future success. Our platform can now handle structured and unstructured data. Likewise, the AWS infrastructure is rock solid. We also have a good set of tools in production for our first-version warehouse. In addition, we anticipate the new platform will be more cost-effective than its predecessor.

How did Caserta perform from a project management standpoint?

The team is a great partner because they’re organized and communicate their progress along the way. We haven’t invested too much time on this aspect because Caserta is readily transparent. Initially, the project was equal parts off site and on site, but we’ve progressed to mostly remote collaboration.

What did you find most impressive about them?

Caserta’s considerable experience manifests itself in quick and effective approaches. Their analyses are focused and yield helpful recommendations in a very short amount of time. Second, the team’s technical and engineering skills are wide-ranging. Caserta can navigate a variety of technologies quickly with active input from senior leadership. Their guidance and advice are valuable.

Are there any areas they could improve?

They need to manage their egos. The flipside of being really smart is being too stubborn. The team can nitpick small points, which creates friction and wastes time.

4.5
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • 5.0 Cost
    Value / within estimates
  • 4.5 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

Data Infrastructure Strategy and Dev for Hospitality Firm

"We’ve focused on having a high degree of communication and collaboration, and they’ve achieved that quite well."

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4.5

Quality: 
5.0
Schedule: 
4.0
Cost: 
4.0
Willing to refer: 
5.0
The Project
 
$200,000 to $999,999
 
May 2017 - Ongoing
Project summary: 

Caserta developed a data aggregation platform. The tool is cloud-based, and utilizes infrastructure as code as a baseline, MySQL, and PostgreSQL. They’re currently working on extract and load applications.

The Reviewer
 
10,001+ Employees
 
Colorado
VP of IT, Resort Group
 
Verified
The Review
Feedback summary: 

Data accuracy has been excellent, and future opportunities have expanded. Caserta places a high value on documentation, so they’ve embedded resources in-house, and they take time to evaluate existing knowledge. Their technical expertise and collaboration set them apart in the industry.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

I’m the VP of IT for a resort group. We own and operate a number of ski resorts around North America. I’m responsible for some of the technologies we use on-property for fulfilling guest experience, as well as putting together data to better understand that experience.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Caserta?

We have a number of legacy data systems across all our resorts, so we needed a lightweight, low-overhead mechanism to reduce some of those inherent complexities. We were also going through some business transformations and were looking for ways to advance our technology. 

SOLUTION

What was the scope of their involvement?

We started by trying to get all of our data into one place for further analysis, and then we continued to refine our scope. We're now using Caserta to help us build a cloud-based infrastructure, using an infrastructure as code baseline. They’re working on the extract and load applications to move data from the source systems into this cloud environment. They’re also building out some of the capabilities of normalizing that data. Our primary data sources are SQL servers, since we've got a lot of Microsoft in our world, but we also have some PostgreSQL and Salesforce data that we need to combine.

They’ve also been providing strategic, architecture guidance on how we should be looking forward, both in terms of technology, as well as our roadmap. Like with Big Data, there’s a lot of hype and buzz around it, but what we’re doing at the moment isn’t related to big data, so we don’t want to overhype it and not have it deliver value to the business.

What is the team composition?

We work with a senior technical architect, who’s our primary knowledge expert and mentor, but we also have another senior data engineer.

How did you come to work with Caserta?

Our CIO had a previous engagement with them, so he brought them in for a conversation. We’d been looking at a couple of other options, but we liked the way they talked about our approach to this project. They also wanted to frame the engagement as a technology learning experience, so we could understand things more fully before spending sums of money, time, and effort committing ourselves to a particular path.

How much have you invested with them?

We’ve spent between $300,000–$500,000 so far.

What is the status of this engagement?

We've been working together since May 2017.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

It's pretty early to have good metrics, but we've gone through some data validations, and we’ve found a very high degree of accuracy. Because of the engagement we have - the resourcers are in our office – we’ve been able to execute very quickly. We’re really looking forward to operationalizing some of the data to grow and advance the business.

How did Caserta perform from a project management standpoint?

We have our own project manager, but the two people they embedded with us are really focused on documentation. We’ve worked with them to ensure that we could own this internally, that it wouldn’t just be in a black box that we couldn’t understand. We’ve focused on having a high degree of communication and collaboration, and they’ve achieved that quite well.

What did you find most impressive about them?

The general level of technical knowledge and experience is very high. They also have a strong willingness to understand what we're looking for, what we need, and what our business is. Then they do their best to help us with that.

They’ve also provided us a great deal of strategic guidance, as to how to best size the engagement, and where we focus our energies. This way, we're learning as much as possible and not committing to particular technologies or patterns without proper understanding.

Any advice for potential customers?

Be upfront about what you're really looking for, how you want to structure the project, and what your goals are. Caserta does a really good job of tailoring the project and working well with the customers. They’re good at adapting to the project as it changes, but doing so effectively requires a great deal of transparency and collaboration.

4.5
Overall Score
  • 4.0 Scheduling
    ON TIME / DEADLINES
    We were on a tight timeline that got buggered, but not to the fault of Caserta.
  • 4.0 Cost
    Value / within estimates
    I think that as we get through our current phase of the project, we can better answer that.
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

Data Modeling & Visualization Partnership with University

"They completed the project within a very short time and demonstrated incredible value."

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5.0

Quality: 
5.0
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$1,000,000 - $9,999,999
 
June 2010 - Ongoing
Project summary: 

Caserta has assisted with three complex data modelling, warehousing, extraction, and visualization projects. They have also implemented data security protocols and built user dashboards. 

The Reviewer
 
10,001+ Employees
 
New York Metro Area
AVP of Analytics, Large Private University
 
Verified
The Review
Feedback summary: 

The projects have allowed leadership to effortlessly gauge academic performance, and even helped to secure additional funding for the organization. Caserta's industry expertise, transparent communication, and efficient turnarounds make them an essential long-term partner.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

I am the AVP for information and analytics at a private university. I provide information to people who need it.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Caserta?

Our technical team’s skillset was not up to par with the industry. They were also busy with other projects, so we needed to outsource some work.

SOLUTION

What was the scope of their involvement?

I have engaged Caserta in three different venues.

One of the most significant involved a team from Caserta implementing a whole project. They did a fantastic job at staying within our budget. They completed the project within a very short time and demonstrated incredible value. Because of how much they accomplished, we presented their work to our provost. It opened doors for us and helped us continue to receive funding.

It was a traditional data warehousing project involving data modeling and extraction. We did an ETL to pump data from several sources. We dealt with the complexities, definitions, and rules around data governance and security. On top of that, we had to introduce a dashboard to visualize the data.

At that time, visualization was new to Caserta. They used OBIEE. We used Datastage for the ETL component.

What is the team composition?

It was a relatively small team. Someone served as both project manager and architect, which I really liked. We also had an ETL developer and a data visualization person.

How did you come to work with Caserta?

A personal industry contact recommended them to me. There was no question that we wanted to work with them. Other companies gave me consultant selling points, but Caserta's president dived into specifics. The substance was there.

How much have you invested in them?

We have spent approximately $2 million on their services.

What is the status of this engagement?

We began working with them in June 2010 and it is an ongoing relationship.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

It was the first time that academic leadership could easily visualize and access assessments and measurements. It was highly praised and well-received on campus, by both academic leadership and the provost. We operationalized the data that they gave us.

We plan to work with them on more architecture for self-service business intelligence (BI). We want to learn and experiment more with that.

How did Caserta perform from a project management standpoint?

They have been fantastic. We’ve been happy with their level of communication and availability. Our case was a little different because they weren’t managing the project. I was responsible for figuring things out on our side.

What did you find most impressive about them?

They have genuine knowledge and expertise. They are not just trying to sell you something. They are honest, setting the right expectations and delivering on them.

Are there any areas they could improve?

They could learn how to market themselves better.

5.0
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • 5.0 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer