Data Science is at the heart of the products and services provided by Lingaro. We employ top experts and cutting edge tools, algorithms, methodologies, techniques and best practices to reveal and leverage the full potential of your data and help you gain competitive advantage.
Data Science is at the heart of the products and services provided by Lingaro. We employ top experts and pioneer tools, algorithms, methodologies, techniques and best practices to reveal and leverage the full potential of your data and help you gain competitive advantage.
At Lingaro we turn the abundance of both internal and external data into insights and recommendations that drive better business decisions and give our clients the competitive advantage.
First we make sure we have a clear understanding of WHAT is the market situation then we make further analysis to understand WHY the situation occurred and what were the key drivers. Finally based on those findings we make recommendations on HOW to approach the problem.
At Lingaro we turn the abundance of both internal and external data into insights and recommendations that drive better business decisions and give our clients the competitive advantage.
First we make sure we have a clear understanding of WHAT is the market situation then we make further analysis to understand WHY the situation occurred and what were the key drivers. Finally based on those findings we make recommendations on HOW to approach the problem.
The analysis of market dynamics can help you better understand market trends, competitors and industry challenges. Your market share might be declining because of new products launched by a competitor. We can provide counter-strategy analysis and validation covering multiple scenarios.
The analysis of promotional effectiveness can help you better understand which promotion type brings the highest returns, which products to promote and how various types of promotional activities build synergy.
Business Process Monitoring we provide can be implemented seamlessly. The abundance of data that we turn into actionable insights can help you with KPI anomaly alerting or management by exception.
Optimization has been used in different areas for decades. With the advent of cloud computing power it is widely used in areas such as mechanics, economics, finance, engineering, geophysics or molecular modeling.
We help our Clients when the problem is clear in the terms of outcomes (usually optimal allocation) but the number of variables is too big to grasp. Lingaro uses advanced optimization algorithms to make mathematical representations of a problem that is easily understood and different scenarios can be tested.
Optimization has been used in different areas for decades. With the advent of cloud computing power it is widely used in areas such as mechanics, economics, finance, engineering, geophysics or molecular modeling.
We help our Clients when the problem is clear in the terms of outcomes (usually optimal allocation) but the number of variables is too big to grasp. Lingaro uses advanced optimization algorithms to make mathematical representations of a problem that is easily understood and different scenarios can be tested.
Lingaro bespoke Algorithmic Optimization can help you increase the production plant efficiency by improving the allocation of resources.
With Algorithmic Optimization Lingaro can help you drive the distribution of the most productive SKUs with the desired overall structure of sales.
Optimization research modeling can enable efficient balance between trucks utilization and cash allocation in inventories. Even small reorganization of current shipment plan can lead to significant outcomes, not to mention the entire system optimization.
Machine Learning explores the study and construction of mathematical instructions that can learn on their own and make predictions on data. Algorithms are designed to build models from sample inputs to make data-driven predictions and stimulate informed decisions.
Machine Learning constitutes a subfield of computer science that gives computers the ability to learn without being explicitly programmed. It evolved from the study of pattern recognition and computational learning theory in artificial intelligence.
Machine Learning explores the study and construction of mathematical instructions that can learn on their own and make predictions on data. Algorithms are designed to build models from sample inputs to make data-driven predictions and stimulate informed decisions.
Machine Learning constitutes a subfield of computer science that gives computers the ability to learn without being explicitly programmed. It evolved from the study of pattern recognition and computational learning theory in artificial intelligence.
To support a website with live chat consultants is a time, space and money consuming solution. Especially when the majority of questions asked are simple and can be answered automatically. The chatbots we provide address the simple questions and divert the more troublesome ones to consultants thus supporting resources optimization.
Non-productive inventories still constitute substantial challenge to a great number of production companies. The solutions that we provide automate the obsolete inventory management. We apply advanced Machine Learning engines to drive informed decisions and help you build Smart Inventory Systems.
It is still not uncommon that disparate and sparse data residing in different systems pose a critical threat to the quality and integrity of data. The legacy techniques of manual data integration and harmonization were neither efficient nor reliable. We utilize Machine Learning to automate the process of POS data integration to ensure the immediate harmonization of the highest quality.
Data discovery involves visualizing data or performing exploratory statistical analyses on it to uncover patterns and spot anomalies. To do so, organizations rely on visualization and statistical tools to help navigate and analyze their data.
Data discovery involves visualizing data or performing exploratory statistical analyses on it to uncover patterns and spot anomalies. To do so, organizations rely on visualization and statistical tools to help navigate and analyze their data.
To track and analyze the effect of parallel trading, tools can visualize the prices of the same product in two different markets and identify the most important products to consider based on historical price analyses.
Using regression analysis, descriptive models help users understand the most important factors that influence their sales on an ongoing basis.
Compared with manual processes, automated tools can provide faster and more comprehensive data analyses of reports.
Simon has econometric background and over 10 years of experience in data analytics, data science and Big Data. He has successfully built Data Science teams in different business environments delivering projects for Clients from various industries such as CPG, OTC, automotive, telecoms, banking, insurance and others.
Simon believes that there is only One Truth – to be discovered in the Data 😉
