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Please provide a briefing on Anodot including everything we need to know about their history, core product features, value proposition and product differentiation
Hi there! Thank you for your request to provide a briefing on Anodot, including everything one needs to know about their history, core product features, value proposition and product differentiation. The short version is , through using Anodot's website, Geektime, Samsung ARTIK's website, and Start-up Nation Central, I have drafted for you an overview of Anodot's history and features of its core product, focusing in on its value proposition and how it stands apart from similar products. Below is a deep dive into my research and methodology.
METHODOLOGY
To fulfill your request, I used Google and Wonder's resources database as my primary research tools. Through these tools, I found that 4 sources that provided me with the information requested: 1) Geektime, 2) Samsung ARTIK, 3) Start-up Nation Central, and 4) Anodot's website.
ANODOT'S HISTORY
In 2014 David Drai, Ira Cohen, and Shay Lang came together to found Anodot, an incident detection and analytics B2B startup. Eventually Drai would become the company's CEO, Cohen its Chief Data Scientist, and Lang its VP of Research and Development. Their goal was to create a business intelligence solution that uses real-time data instead of relying on older data, which has been the norm among business intelligence professionals. They wanted this product to identify all anomalies in a system rather than focus on specific ones.
Since its founding, the company has gained more than 30 clients, including Wix, Microsoft, Credit Karma, and Rubicon. Currently, the company has its headquarter in Ra’anana, Israel, and a sales office in Santa Clara, California. It has a team almost 25 people, and they expect to hire more people for research and development and marketing.
As of September 2016, the company closed their Series B funding round, having raised and additional $8 million from companies Aleph Venture Capital and Disruptive Technologies L.P. In total, the company has raised $12.5 million (including Seed: $1.5 million, received from Disruptive Technologies L.P. and 83North in 2014; and Series A: $3 million, Disruptive Technologies L.P. in 2015)
Anodot's business intelligence solution offers the following features:
Through the use of patented machine learning algorithms, the product is able to analyze the normal range of a user's time series data. Thereafter, it creates alerts for anomalies, which are rated by their level of significance (how far off the anomaly is from the usual data, as well as its duration).
Key aspects of this feature are:
1. Automation of flagging unusual data behavior, whether positive and negative.
2. Manages complexities, such as trends, behavioral changes in the data, and any seasonal shifts that occur.
3. Autoselection and autotuning of the most appropriate advanced algorithm for the data pattern exhibited.
4. Simultaneous analysis of multiple time scales.
The product automatically "groups and correlates multiple anomalies by design," which prevents alert storms by recognizing the most important insights from the anomalies.
The product delivers alerts to the user's preferred application, making sure to send only a single alert in the cases where anomalies are related.
Through the products suite of functions, the user can view "metrics in infinite combinations." Its user-friendly style makes it easy to create and save composite metrics.
The product provides one-click charts that can be displayed in a variety of other ways. Each chart allows the user to engage in in depth investigation. The user can also group charts into easily viewed and managed dashboards.
The product takes in and analyzes any type of time series data in real time.
Anodot's value proposition is its real-time business incident detection solution that, using ARTIK Cloud, reads data points from multiple IoT sensors to understand their normal patterns, which allows it to send alerts whenever there is a sign of abnormal behavior in the data.
- Anodot's focus on analyzing real time (streaming) data to predict future behavior of any monitored metric makes Anodot stand apart from and is a disruptor of traditional business intelligence solutions that focus on historical data rather than real time.
- Anodot does not need users to decide on either system queries or data prioritization (as traditional business intelligence solutions require). Instead it has automated that process and identifies the data of which users need to be aware.
- Anodot takes in all metrics, rather than focusing on a few specific ones (as traditional business intelligence solutions do). After reviewing all the metrics, Anodot then isolates and further investigates the vital ones.
CONCLUSION
To wrap it up, through using Anodot's website, Geektime, Samsung ARTIK's website, and Start-up Nation Central, I have drafted for you the above overview of Anodot's history and features of its core product, focusing in on its value proposition and how it stands apart from similar products. Thanks for using Wonder! Please, let us know if we can help with anything else!