Analytics

thoughtspot

Introducing Multiple Snowflake Configurations per ThoughtSpot Connection

Jun 3, 2024 By Murtuza (Ali) Alladin In ThoughtSpot
Organizations leveraging cloud data warehouses like Snowflake require the ability to efficiently manage and optimize their data connections. Without this, data teams will face challenges with various use cases, such as workload distribution and environment testing. Recognizing the need for greater flexibility and control over data connections, ThoughtSpot developed a powerful new feature: Multiple Configurations per Connection.
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databox

Landing Page Best Practices for B2B SaaS and Tech Companies

Jun 3, 2024 By Databox In Databox
Enjoy reading this blog post written by our experts or partners. If you want to see what Databox can do for you, click here. Google “landing page statistics” and you’ll find plenty of statistics for landing page performance in all businesses, but not so much for specific niches. If you work in B2B SaaS or tech, you know that your audience has specific needs that a one-size-fits-all approach can’t meet.
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Defining Asynchronous Microservice APIs for Fraud Detection | Designing Event-Driven Microservices

May 31, 2024 By Confluent In Confluent
In this video, Wade explores the process of decomposing a monolith into a series of microservices. You'll see how Tributary bank extracts a variety of API methods from an existing monolith. Tributary Bank wants to decompose its monolith into a series of microservices. They are going to start with their Fraud Detection service. However, before they can start, they first have to untangle the existing code. They will need to define a clean API that will allow them to move the functionality to an asynchronous, event-driven microservice.
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astera

Data Science vs. Data Analytics: Key Differences

May 31, 2024 By Fasih Khan In Astera
Organizations increasingly use data to gain a competitive edge. Two key disciplines have emerged at the forefront of this approach: data science and data analytics. While both fields help you extract insights from data, data analytics focuses more on analyzing historical data to guide decisions in the present. In contrast, data science enables you to create data-driven algorithms to forecast future outcomes. These disciplines differ significantly in their methodologies, tools, and outcomes.
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astera

5 Key Data Governance Principles for Effective Data Management

May 31, 2024 By Zoha Shakoor In Astera
Digitalization has led to more data collection, integral to many industries from healthcare diagnoses to financial transactions. For instance, hospitals use data governance practices to break siloed data and decrease the risk of misdiagnosis or treatment delays. Therefore, managing data to protect its integrity and security leads to high-quality, reliable data that empowers organizations to make informed decisions.
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cloudera

Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

May 30, 2024 By Joe Rodriguez In Cloudera
The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.
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