Machine learning, big data, analytics, AI- lately, all these terms are dominating regular industrial conversations. While most of us have no clue about these highly technical terms, data science professionals are experts at understanding and working with these complicated technologies. Hence, having a data science vendor is crucial for every company that works around these coming-of-age technologies.
But with many vendors extending data science-related services, navigating through them and finding the best one has become arduous. If you are a large business, small enterprise, or startup looking for a data science vendor, here is how to select the best one.
Determine your business goals
Before you type the “best data science company” in Google, take some time to determine your goals. What do you need from the data science company? Why do you require data science services? What type of services are you looking for, whether business intelligence or Big Data? Will you need any new product or solution development, or will you integrate third-party solutions?
Answer all these questions and filter your search as per:
Filter the right location
The demand for data science professionals is increasing with each passing day. It wouldn’t be wrong to say that the demand surpasses the supply. Hence, most companies try to get into talks with any service without considering an essential factor, the location.
When outsourcing a data science company, ensure that you choose the right destination. Ensure that the country you are outsourcing service from is known for its services. Find out the data science companies and independent professionals working in the country.
Compare the various outsourcing destinations wisely and select the most promising one.
Determine the credibility of the vendor
Your data scientist vendor should align with the data analytics you are eyeing for, the way you plan to handle it, and the kind of support, whether ongoing or intermittent, you want to have.
Check the tech and industry expertise, experience in the field, and the size of the company. Check their portfolio and seek references. Furthermore, also look into their industry recognition, acknowledgment, and awards.
Price is one of the most crucial factors for selection. Your data science company should fit into your budget. Hence, determine your budget before you start looking for a vendor.
Find out the tech stack for the project
A data science project is powered by various coming-of-age technologies, such as Java, R, Python, Hadoop, Scala, Tableau, Cassandra, to name a few. You might not be already having this kind of tech stack in your organization. But you will certainly need them at various levels to carry out various processes, including capturing (data acquisition, data extraction, data entry, and signal reception), maintaining (data warehousing, data staging, data cleansing,
Data architecture, and data processing), analyzing (confirmatory/exploratory, predictive analysis, text mining, regression, and quality analysis), processing (data mining, data modeling, clustering/classification, and summarization), and communicating (data reporting, business intelligence, data visualization, and decision making) data.
Discuss it with your vendor and procure the technologies they will need for running the data science project.
The bottom line
Owing to the amount of data accumulated and used by large and small organizations, every company requires a professional and experienced data science company to manage it. Every industry will require dedicated data science services taking care of their data science needs and fostering their growth.
Now that you are looking for one, we hope these tips will help you find the best data science company that could work with your data in the best possible way and catalyze your growth.
Interesting related article: “What is Data?”