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Mary Lee

Case Study: Global Financial Firm Reduced Financial Risk Using AI for Fraud Detection. The client is a global banking and financial software firm – provides banks and corporates with solutions that enhance, streamline and secure the payments life-cycle Anblicks helped the client Detect and prevent fraudulent transactions using artificial intelligence.

Case Study: Global Financial Firm Reduced Financial Risk Using AI for Fraud Detection

Developed a self-adapting system that has mechanisms of soft thresholds for establishing and interpreting normal patternsNLP and ML based platform (leveraging RapidMiner) using multiple techniques including rule based, supervised and unsupervised machine learning 90% accuracy for detecting fraudulent transactions before payments are processed85% savings in operating costs using comprehensive alerts dashboard and explanations To know more about how Anblicks helped the client in overcoming its business challenges, and it provided a competitive edge to the client, download the detailed case study by filling the form: FAQs on Data Analytics. 1.

FAQs on Data Analytics

What is Data Analytics? Data analytics is the science of examining raw datasets in order to obtain an outcome regarding the information they hold. It allows us to identify patterns in the raw data and extract valuable information from them. Snowflake Select Partner - Cloud-based Data Warehouse Consulting Services. 4 Ways Data Analytics is Transforming Healthcare Sector - Anblicks. Data analytics has been the driving force of the digital revolution of multiple industries globally.

4 Ways Data Analytics is Transforming Healthcare Sector - Anblicks

It has altered the way we analyze, manage, and leverage data across various sectors. However, the most noticeable impact of the technology is being observed in the field of healthcare. Data analytics solutions in healthcare can reduce treatment costs, outbreak prediction, prevention of avoidable diseases, and improve healthcare services as a whole. Youtube.

With Predictive Analytics healthcare companies can proactively identify patients who are at highest risk of poor health. – julia_tech1

Youtube. Predictive Maintenance using IoT - Anblicks. Advanced Data Analytics, Data Science Services, Data Science Consulting. Hadoop to Snowflake Migration. Application Modernization Strategy and Assessment Services. 7 Key Reasons Why Every Business should have a Good Data and Analytics Strategy. Nowadays, data is omnipresent.

7 Key Reasons Why Every Business should have a Good Data and Analytics Strategy

It is a commodity of infinite value—almost everything you do results in the production of new data. For example, when you withdraw money from a bank, data is generated and stored. Likewise, when you visit a website, you build data that Google and other third-party companies can store and utilize. Earlier, data teams used to invest tons of energy to provide data for analysis due to technological constraints. Predictive Marketing Analytics Tool - Anblicks. Risk Management Solution - Anblicks. How to Overcome the Challenges of ETL framework? The ETL or Extract, Transform, Load process is a significant pillar of an organization’s data processing.

How to Overcome the Challenges of ETL framework?

The process allows the user to extract the information from multiple sources and load it to a single data warehouse. The purpose of this process is to make high-quality data available swiftly and consistently. Data Analytics Strategy & Assessment. AI and Data Analytics: Transforming Retail Industry with Actionable Customer Experience. Artificial Intelligence and data analytics solutions have been the driving force behind the growth of various industries.

AI and Data Analytics: Transforming Retail Industry with Actionable Customer Experience

Manufacturing, healthcare, finance, and most importantly, the retail sector are business verticals leveraging these innovative technologies’ potential. Among the various industries, the retail sector is massively implementing AI and data analytics solutions. Cloud data engineering service providers. How Big Data Analytics in Manufacturing Strengthens the Industry?

Manufacturing remains a critical component of the world’s economic engine, but the role it plays in advanced and developing economies has transferred dramatically.

Big data analytics in manufacturing can improve productivity. – julia_tech1

According to a report by Research and Markets, the manufacturing industry market value was $904.65 million in 2019 and is expected to reach $4.55 billion in 2025.

How Big Data Analytics in Manufacturing Strengthens the Industry?

With big data analytics in manufacturing, manufacturers can uncover the latest information and recognize patterns that allow them to enhance processes, boost supply chain efficiency and determine variables that impact production. Top leaders in manufacturing companies understand the significance of the process. A KRC research study found that 67% of manufacturing executives thought to invest in data analytics, even in the aspect of pressure, to reduce costs in this unpredictable market. To comprehend big data analytics in manufacturing and its consequences, let us dive into how its intervention improves and modernizes the operations. Advanced Data Analytics, Data Science Services, Data Science Consulting. Big Data / Analytics. Data Analytics & SEO. Data science. Data science. Data Science. 5 Data Analytics Trends to Look Up for During the Pandemic in 2021 - Anblicks.

COVID-19 has altered the business dynamics today.

5 Data Analytics Trends to Look Up for During the Pandemic in 2021 - Anblicks

The traditional bricks and mortar working of any organization have proven to be incompetent to cater to the disrupting business environment. These times are calling for new resolutions to analyze the operations and general behavior of the customers. Therefore, organizations are investing their resources in upgrading their data analytics solutions and services to generate better leads and business. Data analytics is breaking innovation ground almost every day. Data Analytics. Steering Disruption with Data Analytics in Automotive Industry. Altering the Retailing Norms The digital economy has become a major factor in the growth of the automotive industry.

Steering Disruption with Data Analytics in Automotive Industry

Automakers worldwide provide round-the-clock connectivity, several access channels, and a seamless digital experience across every engagement channel. For instance, recently, Audi joined hands with Adobe to offer a seamless and smooth user experience. How to Leverage the Power of Data Analytics in Sales - Anblicks. As per Forbes Insights, data is the DNA behind the robust analytics and insights supporting modern organizations to recognize new products, determine how to serve customers better, and enhance operational efficiencies.

How to Leverage the Power of Data Analytics in Sales - Anblicks

Organizations that embrace analytics have significantly more growth than those that delay adoption. These organizations are also defined by having comprehensive digitization of data and adoption of analytics. However, just because data integration is highly increasing doesn’t imply that businesses are using it accurately.