Solve problems with data science
Business intelligence primarily focuses on monitoring the current state of business data, with the sole purpose of understanding the historical performance of a business.
This interpretation of past data proves useful when analyzing the outcome of previous internal business processes, funnels, and high-level decision-making.
The issue with business intelligence, however, is that it’s limited in its approach. Any data analytics firm worth your time will be the first to point out that data science is the only way to truly use the knowledge gained from historical trends and patterns into making wise future predictions.
This explains why business intelligence is primarily used in Descriptive Analytics, whereas Data Science can be used for Predictive or Prescriptive Analytics.
Professional data science analysis can help you make sense of the flood of information you might be drowning in. It’ll help you see things that you and your colleagues might miss. It’ll help convince stakeholders that your vision is the right one.
The form and function of data science run together. Data science turns raw data into accurate predictions so you can make high-impact decisions that lead to competitive advantage.
And with our lives increasingly driven by endless streams of information, being able to properly leverage data science has become a major priority for organizations of every size.
Traditional business intelligence can only identify a select few problems, along with a few details, but proper data science predicts when, or if an issue will arise.
However, data science consultancy is often approached in a haphazard manner. There are many companies out there that don’t know what they’re doing, or worse, are actively trying to defraud customers.
We are a data science services company that is dedicated to providing the best experience possible, and our development teams will bring a cross-functional, scientific approach to all the projects undertaken.
If you would like to know more about what data can do for you, then you should read more about the core competencies, industry applications and connections to DataOps in our Guide to Data Science in Development.