Systems | Development | Analytics | API | Testing

6 Signs Your Analytics Dashboard is Outdated

From performance metrics to resource allocation to customer feedback, there is a lot of important data for businesses to track today, and it can be difficult to measure it all - but with the right dashboard in place, collating such data for everyone to see is much easier. However, if your dashboard analytics is outdated or otherwise not updated fast enough, you may not be able to provide accurate data about your company's performance at all.

4 Reasons Why Process Mining is the Best Strategy to Cut Business Costs

Organizations invest in software with the idea that the new tools will deliver a variety of benefits. Some benefits are more qualitative, such as an improved user or customer experience, but others can have a direct impact on your bottom line. Whether it's an asset management solution, payroll system, or procurement application, technology has the ability to save organizations substantial amounts of money by streamlining your business processes.

Iguazio Product Update: Optimize Your ML Workload Costs with AWS EC2 Spot Instances

Iguazio users can now run their ML workloads on AWS EC2 Spot instances. When running ML functions, you might want to control whether to run on Spot nodes or On-Demand compute instances. When deploying Iguazio MLOps platform on AWS, running a job (e.g. model training) or deploying a serving function users are now able to choose to deploy it on AWS EC2 Spot compute instances.

The Snowballing of Connected Data Apps

If you’ve been following commentary on the modern data stack recently, you may have noticed the tent’s steadily getting bigger. There also appears to be a growing ecosystem of companies that are beginning to take the next step, going from what a modern data stack can look like, to now internalizing this concept in their very own product solutions.

The AI paradox & the importance of human-led automated intelligence

We all make daily decisions with the help of AI, perhaps without even realizing it. Advanced automation technologies using data from smart devices and social networks make it easier than ever to offload your decision-making to an algorithm. Recommended posts, ads, suggested products — none of this is possible without automation. But machines can only get us 90% there. They’re great at consuming and analyzing large volumes of data, but still have trouble with edge cases.

Get More Value out of Geospatial Data

In the ever-expanding world of IoT, no industry is left untouched and the growth potential shows no sign of slowing down. According to a report published by GlobalData in May 2021, the global Internet of Things market is expected to reach more than a trillion dollars by 2024. Predictive maintenance, optimized energy consumption, road traffic management – the use cases are virtually endless! Meanwhile, that connectivity is generating a goldmine of data for your business.

Building an effective data strategy and culture with a chief data officer

With data becoming a more important business resource by the day, organizations are increasingly turning to their leaders to ensure data excellence. Mark Fazackerley, Regional Vice President ANZ at Talend, outlines how the growingly popular Chief Data Officer role can help lay the groundwork for an effective data strategy and culture.

August 2022 Product News, Events, and Test Automation Insights

Welcome to The Monthly Sauce! At Sauce Labs, we believe that every experience matters. It’s what drives us to build products that equip our customers with digital confidence in the rapidly evolving world of software development. Read on to learn how our newest features and insights can help strengthen your testing.

Incremental Strategies to Move Your Data Strategy Forward

Firms are burdened with tech debt and endless regulatory compliance, often leaving innovation last to receive the necessary budgets. Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization.