ANALYZE | SCALE | DELIVER

Algoscale is an US incorporated, privately held boutique Big Data Analytics and Decision Science firm helping organizations derive valuable business insights from mountains of data through application of analytics and technology.

Our core competency is our exceptional expertise in building and customizing technology platforms to analyze any size of data backed by our ability to understand business requirements. Algoscale works across the Big Data Analytics value chain offering analysis, decision science and technology infrastructure under one roof.

 
$5,000+
 
< $25 / hr
 
10 - 49
 Founded
2014
Show all +
Noida, India
headquarters

Portfolio

US based hotel chain leverage analytics to improve customer experience and increase repeat guests

Majority of the hotel bookings today are done online and guest reviews are one of the key consideration for travelers to make a decision. *Research suggests over 93% of customers consider hotel reviews as an important factor for booking hotels. The client with its value based offerings had carved its niche for a certain segment of travelers and they wanted to understand how their guests rated them for their services and

experience on online review platforms, forums, travel portals and similar consumer generated content on the web. Algoscale through its analytics transformed the data into actionable insights and enabled the client to take major business decisions to improve the service quality and attract repeat customers across their hotels.

To know more --> http://bit.ly/2UMwqPp

Leveraging video analytics for golf performance analysis and training

Advanced video technologies and connected devices in sports produce data that can be used to analyze and improve players’ performance through analysis-driven coaching programs. In golf, achieving top performance is largely dependent on finding the right swing along with the various type of clubs – irons and woods. Sophisticated accuracy of movement is also required for putting, chipping, pitching and bunker shots. After all,

the technique-driven game of golf is among the most complex sports in existence. Algoscale helped to deliver modern video analysis system for analyzing golf swing for training the amateurs from professional golfers’ videos.

To know more --> http://bit.ly/2GxDoUE

Optimizing costs for healthcare supply chain with predictive analytics

Technology helps reduce spending and increase revenues by providing visibility into global spend while creating automated processes to classify spend data and identify opportunities for savings. Algoscale practiced big data analytics and predictive intelligence to bring transparency in supply chain management making the healthcare system more affordable and efficient. This enables hospitals and suppliers to effectively manage

their daily supply chain operations and generate revenues.

To know more --> http://bit.ly/2E14wJT

One of Russia’s largest retail chain drives expansion using analytics

In the ultra-competitive retail sector, traditional sources of decision-making – such as sales history, and executives’ experience and intuition – are now insufficient. The client with its high growth, distinctive hypermarket model wanted to understand how they could help themselves with the decade long historical data collected over the years.

Algoscale left no stone unturned in extracting & providing actionable

insights and empowered the client to make strategic decisions like finding the sweet spot for setting up new stores to drive the group’s expansion.

To know more --> http://bit.ly/2SB1l3x

Reviews

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Software Dev for Marketplace

"They continue to grow and have tried to be a true partner."

Quality: 
4.0
Schedule: 
4.5
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
Confidential
 
July 2014 - Ongoing
Project summary: 

Algoscale Technologies prepared a software engine to support big data analysis in a broader SaaS platform, scaling from 6–9 resources as needed for multiple sprints. They now provide product assistance. 

The Reviewer
 
1-10 Employees
 
Basking Ridge, New Jersey
CEO, Supply Chain Company
 
Verified
The Review
Feedback summary: 

The curation solution successfully manages over 200 data sources for vital functions like order analytics. Through Algoscale Technologies’ innovative suggestions and consistent responsiveness, the engagement continues to exceed expectations.

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

BACKGROUND

Introduce your business and what you do there.

We are a marketplace for the healthcare supply chain. Our software-as-a-service (SaaS) platform brings providers (hospitals) and suppliers (manufacturers, dealers, and distributors) to the same place, enabling them to do business with each other. The big difference about our solution is that, unlike others, it provides buyers as well as sellers with the ability to manage their day-to-day operations using cloud and big-data analysis.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Algoscale Technologies?

We were working on the analysis part of our solution, bringing in various sorts of structured and unstructured big data, normalizing it, making it analyzable, and using various methodologies in order to create a prediction engine. We wanted to use that engine as a means of making cost-saving recommendations.

SOLUTION

What was the scope of their involvement?

Algoscale provided software development. There was a lot of work with the data itself, both structured and unstructured. We needed the ability to understand it since the data were coming in from over 200 sources. Making it analyzable meant doing various operations connected with the ETL [extract, transform, and load] process in an easier way. There are regulatory and product data coming in from various manufacturers. We call this the curation engine internally, and it was a big part of the whole exercise.

We used various technologies, including Python, JSON, MongoDB, and Elasticsearch. There were multiple development sprints, and we used the Agile Scrum methodology. The team fluctuated between anywhere from 6–9 people at different parts of the engagement.

How did you come to work with Algoscale Technologies?

Neeraj, their founder, was actually a former colleague of mine. He’s been involved in many big-data analysis and predictive intelligence projects. We knew about other companies, but this was why we decided to use Algoscale.

What is the status of this engagement?

We have been working with Algoscale Technologies since around July of 2014. We continue to use them as a partner.

RESULTS & FEEDBACK

Could you share any evidence that would demonstrate the productivity, quality of work, or the impact of the engagement?

The database for which we’re creating the curation engine is the core of our business. It’s being used for multiple sets of analysis for order management and in a variety of other ways. I wouldn’t say that we couldn’t have done this without Algoscale, but they were helpful in speeding up the process. We had started the development, so they came in as an auxiliary resource.

How did Algoscale Technologies perform from a project management standpoint?

They performed well and worked with us in a collaborative fashion. Algoscale was responsive to our requests and brainstorming sessions, either coming up with interesting ideas and out-of-the-box suggestions or challenging the concepts we already had in place. They responded to our emails in a timely fashion. We also used Skype, Cisco WebEx, and other communication tools.

What did you find most impressive about Algoscale Technologies?

I appreciated their ability to come up with certain ideas involving newer technologies.

Are there any areas Algoscale Technologies could improve?

No, they’ve been a great partner and have helped us whenever we needed it. They continue to grow and have tried to be a true partner, bending over backward to meet our deadlines. There is always room for improvement in some areas, but I have no specific recommendations for Algoscale.

What tips or recommendations could you share that might increase the likelihood of success with Algoscale Technologies?

Clients need to have a vision when partnering with anyone. Be prepared for different kinds of contingencies. We crafted our own model neatly, which wasn’t Algoscale’s responsibility.

4.5
Overall Score
  • 4.5 Scheduling
    ON TIME / DEADLINES
    There were only a few instances in which Algoscale didn’t reach or exceed our expectations. There were some delays from our side in providing raw datasets.
  • 5.0 Cost
    Value / within estimates
    We had a planned budget. In most situations, Algoscale helped us reach and exceed our goals.
  • 4.0 Quality
    Service & deliverables
    Algoscale hit our timelines and provided an output that was much better than we anticipated. They provided innovative and efficient alternatives for our workflow.
  • 5.0 NPS
    Willing to refer
    We have already recommended them on 3 different occasions.