We provide Advanced Analytics Offering in the following areas.
Business Analysis Strategy
Helping clients build a comprehensive Analytics Strategy to enable business insights from data assets and analytical models rapidly.
Decision Science and Support
Build statistical and machine learning models to improve growth and operational effectiveness or efficiency through innovative data uses.
Deploy, Improve Analytics and Decision Making capabilities
Build organizational capability to help deliver and continuously improve Enterprise Analytics Capability roadmap.
What we do
Advanced analytics and AI-powered analytics that help enterprises improve business strategy, decision-making and performance
Visionaize ACE (Analytics Capability for Enterprises) leverages:
- Comprehensive data architecture to connect siloed data assets.
- Analytical models combine and mine data across customer journeys, product telemetry, and transactional data to generate impactful insights.
Consumption experience that is contextualized and personalized for timely decision making.
Our AI Services
Let our experienced consultants map business problems to technical solutions and deliver maximum business value.
Our Solutions offerings come with a framework and toolkits for solving challenges in a specific vertical or a domain.
Build Custom analytical systems that enable efficient data management and maintenance of the cluster infrastructure.
Tap into a specialized skillset and use our years of experience focused on Big Data Analytics and Data Science.
Visionaize is always known to keep widening its horizon of work. We keep testing ourselves with new products and services to create a buzz not only in one industry but many. Some of them are as follows.
Supply Chain Analytics
From demand forecasting to optimization to enabling better planning and providing real-time visibility and decision-making capability, we cover processes across the entire value chain.
Measuring, managing, and analyzing marketing performance and recommending ways to improve marketing effectiveness.
Tapping the immense hidden knowledge by understanding consumer behavior to make informed business decisions.
Generating actionable insights and providing solutions on claims analytics, risk analytics, customer analytics, and other areas across the insurance value chain.
From time-series problems to credit risk to fraud and AML, we offer various services across various process areas.
Gain a 360-degree view of the customer, solve problems across the supply chain, merchandising, marketing, and other business functions.
Save time and not just money by using the IDE you prefer, existing workflows and Visual debugging tools; optimizing your networks and making them better and faster.
Build solutions on trusted and robust Infrastructure on Cloud for the best production environments.
Leader in AI
Manage the training end-to-end using our training assets and focus on designing the most optimum and efficient neural architecture possible.
Use graphs to view accuracy and loss in real time and then track and view the hyperparameters; no more text logs.
Capability & Expertise
|Methodologies||Data exploration, Data Pre-processing, Feature Engineering, Feature Selection, Model Evolution, Data Visualisation, Correlation, Parameter Significance Test, Natural Language Processing (NLP)|
|Predictive Modelling Techniques||Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, KNN, K-Means, Random Forrest, Principal Component Analysis, XG Boost, AdaBoost, Majority Voting Classifier, Ensemble Algorithm, Artificial Neural Network (ANN), Deep Neural Network (DNN)|
PYTHON (Python Packages: NumPy, SciPy, MatplotLib, Pandas, Jupyter, Scikit Learn) R, Scala
Deep Learning Framework: TensorFlow, Pytorch, Keras
Database: MySQL, MongoDB, PostgreSQL
BI Tools: PowerBI, Tableau
Other: Amazon EC2 Linux AMI, Amazon S3, AWS, CLI, GIT Bash, Grafana, Chronograph
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