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Analytics

Struggling with Inefficient Processes? Process Mining Can Help

Every organization contends with numerous moving parts that drive business forward. But they can be inefficient and convoluted – in fact, Forrester research shows that 71% of organizations use 10 or more applications for a single business process. To make matters worse, only 16% of companies have complete visibility over their own processes. This is where process mining can help. How can you gain more clarity so you can improve efficiency within your organization?

The Glue Schema that binds Apache Kafka

With increased applications developed by different engineering teams on Kafka comes increased need for data governance. JSON is often used when streaming projects bootstrap but this quickly becomes a problem as your applications iterate, changing the data structures with add new fields, removing old and even changing data formats. It makes your applications brittle, chaos ensues as downstream consumers fall over due to miss data and SREs curse you.

Introducing Qlik Cloud Government - Analytics for U.S. Federal Sector - FedRAMP Authorized

Qlik Cloud Government is now FedRAMP Authorized and Mission Ready Qlik would like to announce our SaaS solution for the U.S. Federal and Public Sector with Qlik Cloud Government. A new platform entirely designed specifically to meet the varied needs of our customers including the U.S. Public sector, offering a modern analytics platform built for speed, security, and scale.

Understanding the Necessity of ETL in Data Integration

In today's data-driven world, businesses are constantly generating vast amounts of data, which can provide valuable insights into their operations and customers. However, before data can be analyzed and used for decision-making, it often needs to be cleaned, transformed, and organized in a way that makes it usable. This is where ETL comes in.

Data Fabric Architecture: 3 Essential Facts on What's Unique

Data fabric might seem like yet another data management technological innovation you have to learn about—but this one is different from the rest. While technology continues to evolve, the data problems that enterprises face are in many cases getting worse over time: data, data, and more data is permeating the business.

Putting Data FinOps into practice

A new approach to taming cloud data costs Data management services are the fastest-growing category of cloud service spending, representing approximately 40% of the total cloud bill. 80% of data management professionals report difficulty accurately forecasting data-related cloud costs. In this session, you will learn how FinOps enabled a consistent view between executives, finance, business, and engineering teams, a comparison of FinOps for DevOps and for DataOps teams, and how AI is enabling new levels of efficiency for modern data stacks with DataFinOps.