At Jarmany, we’ve built a leading team of data scientists and data analysts that are skilled in programming languages, different ML techniques, AI and building statistical models.
Our specialists can create custom AI solutions using machine learning techniques, to help you drive growth and internal efficiencies no matter what.
Data science involves the use of various techniques, tools and algorithms to extract meaningful insights, knowledge and intelligence from your data. Two key aspects of data science include machine learning (ML) and artificial intelligence (AI). ML refers to scientific techniques that predict future behaviour based on historical information, and AI refers to the automated actions off the back of those predictions.
Most companies today collect vast amounts of data. It pours in from CRMs, point-of-sale, logistics, warehousing systems, websites, apps, spreadsheets, emails and numerous other sources. Often, companies know the data exists but don’t know how to harness its power to inform business decisions. Data science is the art of building complex models that connect this data and generate positive outcomes.
At Jarmany, our data science consultants have an in-depth knowledge of how to use scientific methods to build statistical models which enable our clients to solve real business problems.
Ultimately, by leveraging data science techniques, your business can benefit from:
The great power of data science is its ability to create predictability and stability within your business by better analysing, interpreting and visualising complex datasets to uncover patterns, trends and correlations. At Jarmany, we typically use two main techniques to help our clients achieve this:
With the power of Machine learning, we can build predictive models using algorithms which learn from a set of historical or training data. Once a model is initially developed, you can then run vast amounts of data through it without the need for further and continuous human intervention.
Machine learning models are extremely dynamic – they constantly evolve and become increasingly more accurate as they are exposed to more data.
Propensity modelling involves using data mining techniques to extract features from your data which can then be used to predict customer behaviour.
This ultimately enables you to better understand customer behaviour and predict customer decision making. In turn, enabling you to make smarter business decisions, such as allocating resources to the most profitable group of customers.
We have a data science team which is highly skilled in the disciplines needed for data mining, programming algorithms, and building ML models. In particular, we have qualified technicians skilled in Microsoft Azure, Python and R.
Our team includes:
Predictive analytics has many proven benefits. From helping to optimise pricing to predicting the amount of demand for a particular product, this important tool has a track record of helping businesses gain a competitive edge.
Data and statistics can help you see what factors and activities really affect your bottom line and by how much. This is called econometrics. How could it benefit you?
Understand how to get started with AI, how you can combine AI and your people, how you can implement an AI solution, and what the benefits could be for you.
As experienced data analytics consultants, we understand that it’s not just about what we can help you
with — it’s about how we provide that help.
Start the conversation today to find out how we can help you on your data science journey.