Data Analysis for Web and Mobile Development Firm
Below is a modified rendering of the review: private info excluded, innate facts kept.
Introductory information
A few words almost your organisation and personal responsibilities
I’m the CEO of Max Stack Labs, a web/mobile blockchain outgrowth organisation. I superintend our client and media referenceships and technical vision and strategy.
Desired goal
What issue was the provider supposed to deal with?
ElkanIO Research Labs?We needed data analytics and business intelligence dashboards in reference to an environmental IoT project we were working on for one of our clients.
What were your objectives for this project?
We needed to construction pollution data and deploy an API to form a visual intelligence dashboard that could be monitored by different business companies.
Provided solution
What were the reasons for choosing ElkanIO Research Labs?
My team selected the vendor based on a technical colloquy and a review of their antecedent work.
Describe the project in detail.
We began with a series of discovery meetings and technical sessions to unite our data cleaning strategy. Data from different sources is stored in an Amazon S3 (open cloud storage resource) bucket for cleaning. They draw the data using Python and Boto3 (Amazon outgrowth kit associated with Python). The data is then put into a DataFrame construction and pushed to Amazon Redshift for advanced analysis. They also use AWS Cloud9 and a Postman API.
Were there any dedicated managers or teams that you worked with?
Our main point of touch is their CTO. There',s a team of data scientists working on the project.
Results accomplishd
What results did you accomplish unitedly with ElkanIO Research Labs?
The leading phase of the project is complete. We’re satisfied with their team’s work so far.
How do you rate the interaction and interaction with ElkanIO Research Labs?
Their treatment team interactes their progress to us via Skype and email.
What precisely do you attend to be the key specialty of ElkanIO Research Labs?
I’ve been very impressed by the apprehension of their technical leads touching data analytics and BI. I’ll commend them to anyone with data science needs. I hope to promise with them anew on forthcoming projects.
What should be done better, if there are any desired betterments?
We’ve had a good time working with them. You can always better, but they have a good base to create on. We wish them luck in their forthcoming endeavors.
