Comprehensive data management is crucial for companies to gain insights from their data.
Data analytics and business intelligence (BI) depend on creative data management practices that have been shown to increase operational efficiencies and savings, according to case studies from vendors.
See below how companies are partnering with vendors on their data management solutions today:
Nasdaq is a global financial services company that operates the Nasdaq stock exchange in the United States and eight European stock exchanges.
The number of automated trading platforms has increased significantly and market volatility has also increased since 2018.
In order to handle the large volume of transactions, a robust data management framework must be in place. Nasdaq switched to an Amazon Web Services (AWS) data warehouse to handle the billions of records they process every day. Nasdaq also implemented a data lake framework that allowed them to scale quickly as needed. This is due to the ability of this framework to separate storage and computation functions.
With this system, as market volatility spiked in February 2020 due to the COVID-19 pandemic, they were able to cope with increased demand, which hit up to 70 billion records daily, with a peak of 113 billion records.
Processing these records quickly is critical to Nasdaq because they rely on them for their billing and reporting processes. With their AWS solution, Nasdaq is able to complete the loading of the data needed to generate their billing and billing information an hour or two after market close.
Medicine: Bausch & Lomb
Bausch & Lomb India is committed to increasing sales of contact lenses in the Indian market.
However, when they started this campaign, they realized that it was a complicated process to go through the various steps involved in offering free trials for easy purchase.
To help with this, they have enlisted the help of three Oracle products. They used Oracle Responsys Campaign Management to support their marketing campaigns. This enables them to efficiently collect customer data and have it in one place. The platform enabled them to increase engagement and achieve higher conversion rates while reducing customer acquisition costs.
They also used the Oracle CX platform to support the increased engagement and conversion rates. Finally, Bausch & Lamb used the Oracle B2B service to manage customer and influencer data. In this way, they can gather information that will help them create personalized, automated communications that will be useful in expanding their market influence.
With these products, they now have a detailed view of customer behavior and can see how customers interact with them and take more targeted marketing measures.
As Dallant grew, they found it difficult to keep up with the demands of their customer base.
They needed a flexible support system, and they also needed an integrated, company-wide information management system.
With SAP / 4HANA, they got a solution that helped them to increase administrative efficiency and overall productivity.
One of the most important advantages is the real-time monitoring offered by SAP / 4HANA. This enables them to make better overall data management and business decisions.
Finances: financial fabric
Financial Fabric recognizes that in order to meet their customers’ needs, they need a robust solution that enables customers to take advantage of analytics while protecting sensitive information.
An in-house solution would have been too expensive, but they still needed a robust solution. They chose DataHub on Microsoft Azure because it enabled them to achieve their goals while maintaining a high level of security. Datahub takes information from a number of sources such as fund administrators and prime brokers into a data warehouse. This data is then used by business intelligence tools connected to Microsoft SQL Server Analysis services.
Without this solution, analysts would have to collect and process data manually. Customers can use the collected data to create high quality analysis and reports without the need for special assistance.
Arabesque uses Artificial Intelligence (AI) to find general trends in markets that help its clients develop bespoke investment strategies.
Instead of having their own infrastructure, they use Google Cloud to scale their product. Before moving to Google Cloud, the company’s development team spent time doing DevOps activities that could have been used for AI research, Arabesque’s core competency.
They use a number of Google Cloud solutions in conjunction with Kubernetes to collect and analyze data on thousands of companies in 75 countries.
By using Google Cloud, Arabesque enables its developers to focus on core business activities, reduces training time for new developers, enables them to increase their market reach and also reduces their server costs since Google Cloud is on a pay-as-you basis. go model.