Big Data Analytics
Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it immediately. Big Data Analytics helps you to understand your organization better. With the use of Big data analytics, one can make informed decisions without blindly relying on guesses.
And it can help answer the following types of questions:
- What actually happened?
- How or why did it happen?
- What’s happening now?
- What is likely to happen next?
Deliver better experiences and make better decisions by analyzing massive amounts of data in real time. Get the insight you need to deliver intelligent actions that improve customer engagement, increase revenue, and lower costs.With today’s technology, it’s possible to analyze your data and get answers from it almost immediately .We help customers speed up their Big Data projects quickly. Using Azure and bundled solutions from Microsoft and Databricks we can have you implementing business solutions in just a few days.
Enterprise reporting is a more specific category of analytics software within BI.Power BI is a suite of business analytic tools by Microsoft to analyze data and share insights. It is a cloud-based business analytics service that helps create live operational dashboards which help you keep a finger on the pulse of your business. It focuses on creating reports that allow users to draw insights.It is a robust, intensive and extensive set of features which includes those offered by enterprise reporting.
Business users will be the major creators of reports and content in the future. They require intuitive and modern tools which can support them in data analysis and report creation tasks. Technologies to increase automation and efficiency such as machine learning help users to speed up their work,reduce the cost and complexity of using multiple analytics solutions.
Enterprise Reporting Helps You:
- Generate reports based on business data
- Create intuitive visualizations
- Gain insights from data
- Make data-driven decisions
Data & AI
AI is only as smart as the insights that fuel it. We can help you unlock powerful analytics insights by tapping into data you didn’t even know you had.AI is creating new methods for analyzing data.AI and machine learning in data analytics make it possible to connect data to obtain insights on consumers, expand their business, and optimize the quality and speed of logistics.
Artificial Intelligence in business—enabling our clients to do things differently and do different things. It’s our approach to embedding AI, automation and analytics at the core of the enterprise to break down silos and create more agile and adaptive processes, enable better decision making, and empower businesses to identify and capture completely new opportunities.
We leverage the power of AI in business to help unlock new insights and create more intelligent processes so you can provide excellent customer experiences at a decreased service-cost per customer. Re imagining customer interactions from account maintenance to payments, from troubleshooting to inquiries, we’ll help you embed AI into your core business functions to empower your workforce and delight your customers at the same time.
- Supercharge agent productivity with the support of Virtual Agents and Intelligent Automation tools
- Deliver timely, conversational customer interactions based on context and customer intent
- Drive customers to digital experiences that can improve both speed and quality of resolution
- Automate and scale consistency across all channels
- Increase digital adoption by delivering personalized interactions
Migrating data is a specialist activity that demands a detailed plan – especially if the project involves complex data. Our data migration services uses a clear process to mitigate risk and maximize the opportunity for project success. This process has been applied by our consultants to migrations of even the most complex data. .In reference to the ETL (Extract-Transform-Load) process, data migration always requires at least Extract and Load steps.
There are three main options to accomplish data migration:
- Merge the systems from the two companies into a brand new one
- Migrate one of the systems to the other one.
- Leave the systems as they are but create a common view on top of them – a data warehouse.
Data Migration Stages
Here are the six stages that we consider while migrating the data
- Project scoping
- Resource evaluation
- Migration Design
- Testing Plan
Our consultants design clear steps to your migration, with the flexibility to adjust to your project’s unique circumstances. We control risk from an early stage by having key documents signed off in stages, giving you visibility and keeping the process flowing smoothly. Working with your team, we ensure that the project is delivered smoothly with minimal disruption.
Why is big data analytics important?