ARE YOU MAKING DATA ANALYTICS DRIVEN DECISIONS?
Businesses, across all industries, can greatly benefit from working with data and extracting insights to guide their strategic and operational decisions. The more data analytics sources available to you that details how customers are interacting with your brand, the better your team can adapt to deliver the right value proposition, to the right person, at the right time.
At Tangent Solutions, we use cutting-edge software allowing businesses to gain and share insights from their data, quickly and accurately in order to make better company decisions. To achieve these objectives we use applications such as:
With AI-powered data analytics, you can feed in all your sources of data to get insights across various channels that you didn’t even know existed! AI can study your data, recognise patterns of activity, while better engaging customers and influencing sales.
Machine Learning, when directly paired with Artificial Intelligence, trains and evolves your system to continuously learn from data analytics, recognise patterns and trends, and identify new, profitable opportunities as they develop. Think of the self-driving car, as a classic example of machine learning, and imagine the possibilities for your company to navigate risk and open new pathways to success.
With the emergence of new technologies, there has been an exponential growth of data analytics in the workplace. As a result, simple analytical tools that were traditionally used to gain business insight are no longer capable of processing these high volume datasets. This has created a need for more complex and advanced analytical tools and algorithms that unearth meaningful insights, patterns, trends, and predictions from structured and unstructured data. In other words, transforming data analytics into knowledge and perspective that can be leveraged to guide decision making.
FACILITATING INNOVATION WITHIN THE BUSINESS
Virtual assistance, medical image analysis, predictive medicine, customer data management, disease tracking and prevention, and drug discovery.
RETAIL, MARKETING, AND E-COMMERCE
Recommendation engines, customer sentiment analysis, market basket analysis, and price optimisation.
FINANCE AND BANKING
Risk analytics, customer data management, fraud detection, and algorithmic trading.
Data Science provides insights and gives you a deeper understanding of your data. This involves powerful tools such as Machine Learning which utilizes algorithms to train models to perform predictive analysis which anticipates future scenarios and behaviours in unprecedented ways. Machine Learning not only performs predictions but can also be leveraged to classify data along with gaining human like intelligence with emerging technologies such as Computer Vision, Natural Language Processing and Reinforcement Learning. Together these tools provide a future-orientated and analytical approach to making informed decisions by answering “what” and “how” events occur.
Through RPA, robotic process automation, you can significantly reduce the frequency of error that is normally found when manually analysing data analytics. With the automation of data analysis, the insights and results you are looking for come much quicker, while also dramatically reducing costs when compared to hiring a data analysis department.