Data Science
Data is rapidly turning into one of the most valuable assets for a company. Using the right tools, it has become possible to find new answers to critical business issues.
Strategizer help orgnizations rocket their competitiveness and get brilliant results of their work unseen before. We strive to reach these goals applying innovative and proprietary development technologies, providing exceptional services, and using excellent professional expertise.
Our company helps businesses of all sizes all over the world to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns.
Our participatory approach to unleash data asset’s value have built a sustainable business based on trust, latest innovation, state-of-the-art technologies, and experience.
For us, the success of a Data Science development program requires an integrated approach for identification of concrete, operational and value-creating Data Assets. A successful Data Science project is based on an iteration between technical and business expertise.
Our team brings together the necessary diversity of profiles and has developed applications for many uses such as:
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Market and Customer behavior Analytics
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Stakeholders Perception surveys and sentiment analysis
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Forecasting and Predictive Analysis
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Pattern and Hidden Structures Identification
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Business Performance and Process Improvement
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Simulations and scenarios tracking
Market & Customer Behavior Analytics
Our Marketing and Customer Behavior analytics comprises the processes and technologies that enable organizations to evaluate the success of their marketing initiatives. This is accomplished by measuring performance using important business metrics, such as ROI, marketing attribution and overall marketing effectiveness Marketing analytics bring factual answers through segmentation, profiling, targeting/scoring and customer lifetime value.
Stakeholders Surveys
& Sentiment Analysis
Our analysis helps organizations use their survey’s Qualitative and Quantitative responses to predict the satisfaction level of their Stakeholders to achieve important goals like:
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Targeting specific community or demographics for improving their products or services
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Tracking sentiments and emotions of customers over time
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Determining the segment or a feature in product or service that strongly attracts customers
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Tracking changes in customer behavior
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Finding a focus on key promoters and detractors of a brand
Forecasting & Predictive Analysis
As a branch of the advanced analytics, Predictive analytics is used to make predictions about unknown future events. Our team in Strategizer Data Management Center of Excellence support our clients to use many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future.
The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future.
Patterns & Hidden Structures
A major challenge in machine learning is to reliably and automatically discover hidden structure in data with minimal human intervention. Our team help organizations to exploit the structure of low-order correlations that is present in high-dimensional data. The scope of our approach extends beyond the purview of previous algorithms; and it leads to both new theoretical guarantees for unsupervised machine learning, as well as fast and practical algorithms for large-scale data analysis.
Business Performance & Process Improvement
In very competitive markets where innovation makes the difference, one must pay attention to your performance while reaching your customers’ expectations. The outbreak of DataViz tools enabled, not only to spread and communicate data, but also to analyze them on the spot, in collaboration with people that have no statistical expertise. With these tools, it is possible to cross sources and geolocalize many phenomena.
Simulations & Scenario Tracking
We support our clients build relevant skills, improve conceptual knowledge, and gain a better appreciation of business strategy and the systems of business management in order to build skills and improve performance through Interpretive simulations that serve as the bridge between learning and real-life experience