Think deeply about your data, probe it, and apply cutting edge techniques including machine learning to get the most out of it.
You know that data is one of your organization's most important assets but sometimes it is difficult to get the information you need in a timely manner.
A data science consultant, equipped with years of expertise in teasing meaning out of data, can hit the ground running and deliver an immediate impact on your most important initiatives.
We can perform a number of roles for your organization, including:
We can accelerate your organization's vital projects, help you to reach targets more quickly, and transmit our expertise to your internal staff.
At Synthelize we highly value partnerships with our clients. We invest very heavily in the success of our partners because we know that your success equals our success. We look forward to exploring the ways we might help your organization to reach its goals.
Data Science Benefits By Industry
Analyze and improve processes. Improve and reduce materials used. Track and predict inventory with greater precision.
Plan more efficient routes. Track shipments and deliveries in real time. Manage fuel/energy constraints.
Attribute customer activity to inbound channels. Perform A/B tests on marketing copy. Measure ROI on campaigns.
Study customer behavior. Plan more effective retail space layout. Right-size inventory stock to eliminate waste.
Monitor and improve infrastructure. Structure and revise budgets for key services. Stay on top of community input.
Determine feasibility of grant applications. Report on key activities and expenditures. Know more about constituents.
A data science consultant can help your organization in many ways. Some data science consultants jump in and help on urgent projects. Others might perform research tasks that are not urgent, but are important for long term organizational growth. Training is another role of some data science consultants - organizations often bring in a data science consultant to bring their staff up to speed on cutting edge technologies.
Data scientists can do different things depending on their particular area of focus. A good portion of a data scientist's role is focused on obtaining and cleaning data - connecting to all the data stores available to an organization and also looking outside the organization for interesting data sets. Some other portion might involve what is called "feature engineering" - figuring out new ways to combine data to provide the best inputs for machine learning models. This article goes into more detail on what data scientists do day to day.
A data science consultant will use many different types of tools depending on the task. For exploratory data analysis many data scientists use python and jupyter notebooks with extensions such as Seaborn for data visualization. If relational databases are part of the project then a firm understanding of Structured Query Language (SQL) is important. Data-visualization heavy consultants might make use of Power BI or Tableau for data display and distribution.
While some data science consultants specialize in machine learning, building machine learning models is a very small subset of the work most data scientists perform. The vast majority of time spent in data science projects is spent in obtaining and cleaning data and preparing it for visualization for organizational stakeholders.
This depends largely on the complexity of your organization's structure and business processes. For projects that do not require a lot of domain expertise a consultant may come up to speed relatively quickly, but for more complicated domains the rampup time is more significant. Data scientists are able to come up to speed more quickly when they are given regular access to organizational domain experts.
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