Every successful company plans for sustainability and growth. Forecasting the growth path helps companies set their short- and long-term business objectives and make important decisions to help them reach their goals. Short-term forecasts are important in quarterly and annual budget planning and for ensuring that daily business operations help achieve long-term goals.
Customers today are faced with a wide variety of industry terminology: APM, IOTA, BPM, OI, BAM and AIOps, just to name a few. Using different terminology like this might help large vendors expand their market size with different positioning offerings, but it certainly doesn’t help their customers understand what they’re getting. Companies spend tens of millions of dollars to solve their problems with the wrong solutions and struggle to get value from it.
It may be back-to-school month, but the glitches never went on summer vacation! Check out the glitches that occurred since our last report…
Demand forecasting is the process of predicting future demand for a company’s products or services. Understanding how many customers will want to purchase or use something is critical for acquiring inventory, planning capacity, scheduling resources, producing products and managing the supply chain. How many people should you schedule for a work shift? How many widgets should you produce this quarter? When should you build additional capacity into your systems?
On July 22, 2019, Slack was in the middle of deploying an update to their desktop app. The update was supposed to decrease memory consumption and increase load time, but instead the company suffered a significant, widespread outage on a global scale. After approximately 40 minutes of downtime, the service was back up. But in the meantime, the company whose motto is ‘where work happens’ essentially stopped working.
When you first set up your Anodot account, you create alerts on the KPIs that matter most to you. Advanced alert configurations enable you to define various parameters so that you only get alerts that are important to you: selecting the metric, building a query, grouping the data by dimensions, selecting triggers and conditions, choosing who and where it should be sent to, and so on.
With AI analytics slated as the biggest disruptor to big data and analytics, data leaders are quickly integrating this capability into their data strategy. Itzik Feldman, data engineering manager at Atlassian, the enterprise software company responsible for Jira and Trello, recently credited Anodot with helping keep the company’s 3,000 employees in touch with product performance and customer experience.
August 2019 was a bad month when it came to financial services outages, with both consumers and investors faced with banking glitches that made them unable to access their accounts. Let’s take a look at the anomalies that made headlines over the last 30 days.
In our recent webinar on what it takes to build time series anomaly detection, industry experts Arun Kejariwal, Ira Cohen and Ben Lorica shared valuable advice for ways to successfully implement and execute anomaly detection systems in today’s increasingly complex corporate world.
There’s never a dull moment in the world of anomaly detection. These are the glitches that the world’s largest organizations battled in the month of July.
