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Data Strategy & Architecture Consulting
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Having a clear data strategy is absolutely vital when you consider the sheer volume of data that is available these days. Collecting data without considering what you want to do with it is useless. A good data strategy is not about what data is readily or potentially available – it is about your business objectives, and how and what data can help achieve your targets. It is also important to remember that no one type of data is inherently better than any other type. Using data strategically is about finding the best data for your company, and that may vary from business to business. With so much data available these days, the trick is to focus on finding the exact, specific pieces of data that will help you make the most optimum decisions. Data Pilot will help you in understanding your business problems and devising a long term data strategy accordingly. By doing so, we will not collect just any data, but we will collect the RIGHT data, resulting in improved and speedy decision making for your business. Data Pilot systematically goes through the following process to set up a successful and sustainable data strategy for your business:
- Understand your business
- Understand your problems
- Identify your data needs accordingly
- Analyze how will data be stored and gathered
- Analyze how will that data be converted into insights
- Identify your technology infrastructure requirements
- Identify data competencies within the organization
- Design chief data office for your business
Data Architecture Consulting
When laying down the analytics infrastructure in your organization, it’s very important to use the right tools and technology in order to create a scalable architecture. Considering there are so many tools to do the same thing, it’s very important to understand the pros and cons of each based on your requirements. We can help in building a scalable architecture using open source or cloud based tools and technologies. We have expertise in building complete data architecture on AWS, GCP and Azure. Moreover, we can also help in building an on-prem architecture using open source tools.
Will your data strategy consulting work?
Our data strategy consulting service will not only streamline various departments but will also help you get a competitive advantage in your industry. You will be able to use the true potential of your business data.
A good Data strategy will allow your organization to gain useful insights and make data-driven business decisions. Moreover, this will further enhance your team’s decision-making and performance since they will have refined, meaningful data that can be used to make the right choices.
AI technologies have resulted in process automation and process discovery. In this digital age, making data-driven decision-making is essential for every enterprise for digital transformation. AI and machine learning can extract meaning from data when the answers are clearly defined. Moreover, they can also transform exponentially dynamic unregulated and regulated data into insights, behaviors, values, and profitability improvements. Similarly, advanced machine learning and big data can assist AI to take a focal point.
How Does ML & AI Help Your Business?
Machine learning and AI can help your business decrease equipment breakdown through preventative maintenance. Furthermore, it can help you increase profits by analyzing business performance in detail. The predictive model can predict purchases, revenue and probability, and several variables for better decision-making. With our machine learning consulting services, you as an enterprise can leverage customer data to create valuable customer profiles and thus enhance brand loyalty.
Machine Learning Solution:
We have strong expertise in building machine learning models which demonstrate business value. We start with an exploratory analysis to make sense of the data and pick important features to predict a specific outcome (target outcome within the dataset. For model evaluation, we choose the right metric based on the dataset and business outcome. Due to the bias-variance trade-off, it is very important to ensure that the machine learning model is balanced in terms of the trade-off to avoid over or undercutting and help the business in predicting the right outcome to demonstrate maximum business value. Through Deep Learning, we have demonstrated the ability to build deep learning models (using PyTorch, TensorFlow, and OpenCV) using tabular data and images. Moreover, we have strong expertise in building computer vision models using deep learning and transfer learning for problems like object detection, facial recognition, image classification, and so on. Our Machine Learning Roadmap:
You can gain a competitive edge over your rivals by adopting state-of-the-art data practices. Moreover, we can create end-to-end machine learning solutions for your specific business needs by using intricate statical methods and various ML models and algorithms such as Deep Learning.
We have expertise in Machine Learning, Computer Vision, Natural Language Processing (NLP), Deep Learning, and Chatbots. We adopt a holistic approach to developing robust AI & ML solutions that entail the following phases: 1. Learn: Develop an understanding of the business model and problems faced. 2. Educate: Explain AI technology and develop a common ground of possibilities for the business. 3. Ideate: Find solutions and prioritize them for the short-term and long-term. 4. Develop: Formulate an action plan to transform the business with AI. 5. Implement: Ensure the organization embraces the technology by providing a thorough change management plan.
How Does ML & AI Help Your Business?
Machine learning and AI can help your business decrease equipment breakdown through preventative maintenance. Furthermore, it can help you increase profits by analyzing business performance in detail. The predictive model can predict purchases, revenue and probability, and several variables for better decision-making. With our machine learning consulting services, you as an enterprise can leverage customer data to create valuable customer profiles and thus enhance brand loyalty.
Machine Learning Solution:
We have strong expertise in building machine learning models which demonstrate business value. We start with an exploratory analysis to make sense of the data and pick important features to predict a specific outcome (target outcome within the dataset. For model evaluation, we choose the right metric based on the dataset and business outcome. Due to the bias-variance trade-off, it is very important to ensure that the machine learning model is balanced in terms of the trade-off to avoid over or undercutting and help the business in predicting the right outcome to demonstrate maximum business value. Through Deep Learning, we have demonstrated the ability to build deep learning models (using PyTorch, TensorFlow, and OpenCV) using tabular data and images. Moreover, we have strong expertise in building computer vision models using deep learning and transfer learning for problems like object detection, facial recognition, image classification, and so on. Our Machine Learning Roadmap:
You can gain a competitive edge over your rivals by adopting state-of-the-art data practices. Moreover, we can create end-to-end machine learning solutions for your specific business needs by using intricate statical methods and various ML models and algorithms such as Deep Learning.
We have expertise in Machine Learning, Computer Vision, Natural Language Processing (NLP), Deep Learning, and Chatbots. We adopt a holistic approach to developing robust AI & ML solutions that entail the following phases: 1. Learn: Develop an understanding of the business model and problems faced. 2. Educate: Explain AI technology and develop a common ground of possibilities for the business. 3. Ideate: Find solutions and prioritize them for the short-term and long-term. 4. Develop: Formulate an action plan to transform the business with AI. 5. Implement: Ensure the organization embraces the technology by providing a thorough change management plan.
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