Data, Analytics & AI

Data Management and Analytics

Data is the capital for modern organizations. It is the basis on which organizations base their current and future decisions. Managing high volumes of data across diverse and unified tiers like data lakes, data warehouses and database management systems can be daunting for businesses.

Achieving desired results in today’s increasing digital and complex business environment requires a blend of human intelligence with machines, artificial intelligence and data science. Digital Cloud creates solutions to achieve speed with scale, intelligence with data, and accountability with quick decision making.

When traditional data analysis is combined with artificial intelligence, it produces results that are far beyond human capabilities in terms of speed and accuracy. Modern AI- and ML-based tools can locate, clean, analyse data with almost zero human input and even provide recommendations to make quick and effective decisions. By integrating your business systems with varied data sources, you can make your existing business systems extremely efficient. You can predict customer behaviour or even influence it with intelligent analysis.

CloudLeaf helps organizations with their data management by creating analytical solutions that can effectively address the large volumes of data generated across the organization. Using Cloud-based data management platforms, we help to collect and analyse data that will help your teams across the organization gain access to real-time data.

Enabling Perfection Through CloudLeaf
Data Management Services

CloudLeaf provides enterprise data management systems to improve your business readiness. In the times of exponentially growing data, it becomes increasing challenging to validate, secure, store, and distribute data across the enterprise within set parameters of quality, cost and time. By helping you build a dependable and resilient data management system, CloudLeaf helps your teams perform to the optimum levels by giving them access to the required data in the right format, at the right time. With a deep understanding of your data and your enterprise goals, we can reformat your legacy data management systems by augmenting them with AI, ML, and BI models.

Data Warehousing

Designing, building, and managing data warehouses to store and analyze large volumes of data

Business Intelligence

Using specific tools and Cloud solutions to make business decisions and drive growth

Data Visualization

Creating compelling visual representations of data using tools such as dashboards and reports

Predictive Analytics

Using statistical and machine learning models to predict future outcomes based on historical data

Data integration

Integrating data from multiple sources, enabling them to gain insights that would not be possible otherwise

Data Science

Using advanced statistical and machine learning techniques to uncover better insights from data

Data Quality Management

Ensuring that data is accurate, complete,
and consistent

Data Governance

Establishing policies and procedures for managing data, including ethical use of data

Digital Cloud AI-based Analytics Services

Data analytics is time-consuming and requires very specific expertise to derive valuable insights from raw data. Use of AI, ML and NLP tools can simplify and even automate certain key tasks in the analytics process. The use of these tools to analyse data have multiple benefits for organizations, making data their competitive advantage.

Use AI-based Data Analytics to:

Create smarter business strategies and improve risk management models
Drive innovation by identifying new products or updates to existing ones
Turbo-charge supply chain by solving challenges quickly
Determine what customers actually want by studying customer behaviour
Create targeted marketing campaigns from current purchase data

CloudLeaf AI-based Analytics Services

CloudLeaf uses ML- and AI-powered tools and solutions to fine tune data-driven decision-making models that enable our clients to make better decisions with the data they have. We create custom solutions to help companies understand and manage their data more securely and effectively. We build AI-based algorithms to generate cleansed and readily-usable data from your unstructured and structured data.

CloudLeaf Data Analytics with AI Roadmap

Improve the accuracy of your processes. Prevent rework and redundancies. Give your customers quick and efficient services with the advantage of AI. Data analytics can churn millions of datasets with accuracy and speech, giving organizations the ability to view, analyse so that they can act on information better. A data architecture that allows instant processing of information, spot frauds immediately, and predict events much in advance is a superpower that every organization needs.

CloudLeaf will help you build a custom data analytics system that uses AI, ML, NLP, deep learning, data science, and data mining. From project planning and design to maintaining data pipelines, bug fixing, incident management and security, we handle the entire process from development to management. Our dedicated team of certified solution architects, data management consultants, and data engineers have worked in various industries like manufacturing, pharmaceuticals, healthcare, retail, transportation and logistics. We ensure complete compliance with GDPR, HIPAA and other local, global as well as industry-specific regulations.

DESIGN

Create a strategic plan by defining AI and ML tools
Determine where to deploy the solution

DEVELOP

Design the AI solution
Prototype the solution
Test and Launch the MVP (Minimum Viable Product)

EXECUTE

Deploy the models, capabilities and enablers
Test the solutions' effect on stakeholders and business model

TRANSFORM

Detect anomalies and initiate corrective action
Deploy across embedded devices, enterprise systems, Edge/Cloud and desktop

ACCELERATE

Fine-tune the model
Expand the solution to gain benefits of scale

Data Management and Analytics