Alicorn Global Ventures has completed an investment of $3 million in Anodot. Recently included in Forbes’ Top 20 Machine Learning Startups to Watch and a leading vendor in the fast-expanding AI analytics space, Anodot is helping companies such as Vimeo, Xandr, Atlassian and T-Mobile to leverage artificial intelligence to surface business incidents much faster and prevent loss.
Using data to predict and prevent IT outages and issues is a growing best practice—especially as advances in monitoring software have made it easier to deliver analytics in a timely manner. IT predictive analytics, once known as IT operations analytics (ITOA), is still nascent in many organizations, but it’s far more streamlined than it used to be when one needed to export data sets to specialized analytics tools such as Tableau or Microsoft PowerBI.
With the release of Kibana 7.10, dashboards have gained a powerful new feature: URL drilldowns that let you instantly click into any predefined webpage from a visual in a dashboard. Now you can build Kibana dashboards that provide data-driven insights and allow direct actionable paths to the systems you use every day. To learn more about URL drilldowns, be sure to join us for the upcoming webinar, How to build dashboards that drive insight and action in Kibana.
As you may know, InfluxDB is available in multiple forms, including InfluxDB Open Source and InfluxDB Cloud. Customers will sometimes ask us, “If I’m using InfluxDB Cloud, is there any reason I should also consider using InfluxDB open source?” It’s a fair question.
Data-driven decision-making is a method based on identifying and analyzing critical metrics and figures to gain insights about key issues and produce a workable solution. An essential aspect of this decision-making process is monitoring analytics that serves to quantify the performance of interconnected systems and resources for enhanced performance visibility and informed decision-making.
Data analysis is incredibly useful for all kinds of businesses and also has academic and hobbyist applications. Nonetheless, it’s still possible to fall into numerous traps when trying to accurately interpret your data. That’s why we’re giving you a list of the top 8 common data analysis mistakes to avoid at all costs. Our first expert Jitin Narang, CMO at TechAHead contributed the following five top data mistakes to avoid:
For the last few months, I have been actively contributing to the InfluxDB community by building InfluxDB Templates for InfluxDB 2.0. InfluxDB is the purpose-built time series database used for metric collection and storage. Let’s build an InfluxDB Template to monitor PostgreSQL together! 👏
The rules of customer engagement have changed drastically in the last decade, not only for direct customer-facing roles but also for internal customer-facing roles such as technical service team staff, NOC admins, and more. Organizations across the globe are now fully aware that great customer service from support teams and NOC teams can have a lasting impact on employee productivity, morale, and in turn, the organization’s overall revenue churn and growth.
