Integrating Business Intelligence & Big Data
Make insightful decisions with your business
BIG DATA BUSINESS INTELLIGENCE: MODERNIZE BI FOR YOUR DATA
THE NEW WORLD OF BIG DATA: PAST, PRESENT AND FUTURE
Every IT executive needs a strategy that transcends their past, present and future data investments. A dataset with billions of records can take days to query, making it difficult to perform data analysis and blocking the ability to explore data. theGiTLab helps create and maintain intelligent aggregates based on your queries to return results in seconds.
SPEED, SCALE AND SIMPLICITY
At theGiTLab, we deliver the speed, scale, and security you need across all of your data assets and customer touchpoints, either on-premises or in the cloud. Get live connections to your data for the BI tools you’re already using for lightning-fast query returns, regardless of data location or format. Also, our SAAS Incorporate Big Data Business Intelligence in a comprehensive dashboard to help give insights to users.
LOAD ONCE, USE EVERYWHERE
When business users have access to the data they need, they can perform their own queries. theGiTLab Autonomous Data Engineering technology identifies query patterns and creates and manages intelligent aggregates just like the data engineering team does.
Big Data Analysis
We inspect, cleanse, transform, and model data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
Business Intelligence
Our Business Intelligence (BI) Solutions comprises of the strategies and technologies used by enterprises for the data analysis of business information. Business Intelligence uses both data analysis and analytics techniques to consolidate and summarize information that is specifically useful in an enterprise context.
Use cases for big data analytics
Improve customer integrations
Aggregate structured, semi and unstructured data from customer touch points to gain a 360-degree view of your customer’s behavior and motivations for improved tailored marketing. Data sources can include social media, sensors, mobile devices, sentiment and call log data.
Detect and mitigate fraud
Monitor transactions in real time, proactively recognizing abnormal patterns and behaviors indicating fraudulent activity. Using the power of big data along with predictive/prescriptive analytics and comparison of historical and transactional data to help mitigate fraud.
Drive supply chain efficiencies
Gather and analyze big data to determine how products are reaching their destination, identifying inefficiencies and where costs and time can be saved. Sensors, logs and transactional data can help track critical information in the supply chain.
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