Credit Karma researches and recommends credit cards, loans and insurance for credit profiles of more than 50 million members’ finances. In real time, Anodot identifies relevant and actionable incidents every day, so the team can deal with them quickly and appropriately.

You asked for it, you got it – now it’s possible to sign in to Anodot with your corporate credentials. Anodot supports SAML (Security Assertion Markup Language), an XML-based, open-standard data format for exchanging authentication and authorization data, in particular, between an identity provider and a service provider. Configuring SAML for your Anodot account will let anyone from your organization log in to Anodot based on their credentials that are stored in Active Directory, LDAP, or other identity store that has been configured with a SAML Identity Provider. And if you’re using Okta as your Identity Provider, you should already see Anodot available as an application, since the integration has been approved. Here are Okta’s instructions for how to configure SAML 2.0 for Anodot. Here’s the link to our support documentation for more specifics on how to implement Single Sign On for Anodot.  

One of the largest ad exchanges in the world, Rubicon Project uses proprietary computing systems to automate the buying and selling of advertising. With Anodot's correlated metrics, Rubicon can quickly pinpoint where to investigate.

  It feels like just yesterday we painted the walls of our office and started our journey of building Anodot, a machine learning SaaS platform for detecting business incidents in real time at massive scale. Since that day, two years ago, we’ve learned many lessons as we’ve grown our company. Lesson 1: Superstitions can help you explain the unexplainable On day one we were six – Menny, Yonatan, Yuval, David, Shay and myself – and on the second day we added a seventh – Anofish. Anofish turned out to be a crucial member of the team – when he felt bad, we hit lows – our system became unstable, critical bugs surfaced, and promising leads turned sour. When he was active and happy, it was the other way around. Luckily, he only died twice and has been healthy for quite some time — knock wood. Which leads us to the next lesson… Lesson 2: Be prepared for the worst, even if you know it will never happen…because actually it will. We learned that thwarting the evil eye is a day to day task in startup life, i.e. ignore the evil eye at your peril. Everything that can go wrong, goes wrong – even if the odds are very slim. A one in a million chance of something bad happening turned out to happen more often than we thought. We now know that anomalies happen all the time, and they always happen when you least expect it. Luckily, this observation is exactly the reason there is a market for our solution, that detects anomalies for so many others. Lesson 3: Know how to talk about your technology even if woken up in the middle of the night. Lesson’s 3 & 4 relate to the many funny moments (aka embarrassing) from which we learned a lot. One evening, I got a phone call asking me why I haven’t arrived to a Meetup where I had promised to give a talk – realizing that I totally forgot, but still managed to rush there, I prepare a few slides in the car and gave a 1.5 hour talk about anomaly detection to a full room. Lesson 4: Don’t let Waze autocomplete the address on your way to an important meeting. And there was that day David arrived to an important meeting realizing that he found the right street, but the wrong city. Oops. Lesson 5: Data scientists don’t know shit about DevOps, at least this one doesn’t…Hire a pro. Co-founders have to wear a lot of hats, and we often find ourselves doing things that we weren’t exactly trained to do, just because, well, it’s got to get done. But there is a time and a place for a pro, and we learned that the hard way when our system went down on a Friday night because I accidentally deleted the security rule that allowed the servers to speak to each other. Double oops. The last two years have been a journey. We started with building the product, getting an alpha out to design partners, releasing the beta and deciding three weeks later that we need to redo the entire UI. Seeing the new product several months later, the excitement of our first sale, and the happiness that it wasn’t just a fluke – and there have been many, many more sales since then. We also grew our team…which leads us to lesson 6… Lesson 6: Don’t take yourselves too seriously. …because after Anofish came Irit – my evil alter-ego mannequin. And finally, Lesson 7: Surround yourself with great people that you enjoy seeing every day. We came back to recruiting actual humans after Irit. With the addition of Tomer, Asaf, Sharon, Meir, Amir, Uri, Jon, Bill, Rebecca, Mark and Kevin, we have an awesome team that makes it so easy to come every day to the office and work through the ups and downs of startup life. Just like having a child, there have been joyous moments and sleepless nights, many ups, and many downs. But we never lost faith that we have the most beautiful and gifted child in the world. We know our child will succeed, and we’re here to make sure she does. So here’s to the terrific twos!

Addressing some of the most challenging customer engagement problems, the LivePerson team needed to know when a problem was brewing, to ensure that its more than 18,000 customers were getting the most out of their solution. Find out how Anodot helps LivePerson to easily track in real time massive amounts of business-critical data, enabling their customers to get the most out of the LivePerson platform.

We've always thought anomaly detection and business incident detection were cool. And now Gartner says so, too. We are so honored to have been named a "Cool Vendor" in Analytics by Gartner, the world’s leading information technology research and advisory company. Each year, Gartner identifies new Cool Vendors in key technology areas and publishes a series of research reports about them. This year, the Report named Anodot as one of five "innovative vendors that are redefining the types of analysis that it is feasible for organizations to perform. They are doing so by providing high levels of automation or extending analytics' reach to new classes of user and new types of decision.” And what is it, exactly, that makes us so "cool"? We believe that it's our technology that sets us apart. Our automated business incident and anomaly detection platform enables business analysts to uncover issues in vast amounts of streaming data without manually setting thresholds or prioritizing which metrics to track. Intelligent behavioral correlation and grouping automatically identifies the impact of multiple anomalies that, when taken together, can have a meaningful impact. Our SaaS solution is based on patented machine-learning algorithms that isolate issues and correlate them in real time to alert users to a need for action. So what does that look like in action? Wix needed a real-time alert system that would indicate issues without manual threshold settings in the key metrics. Read more to find out how Anodot proved to be the system required for providing the necessary insights to the company’s analysts. Anodot enables Credit Karma to identify relevant and actionable incidents each day; that is, issues that have a business or technical impact. Check out how three Credit Karma teams are currently relying on Anodot’s business incident detection with the eventual goal to roll out access to all the teams in the company. Uprise found that with so many metrics, with traditional solutions, one must choose what to monitor, but with Anodot, they simply monitor everything, letting Anodot do the work of identifying anomalies. Read more to find out how Uprise now uses Anodot to track KPIs such as revenue, spend, fill-rate, and performance. For a large digital printing company, Anodot automatically analyzes the hardware and software data that the company collects from each press. Find out how Anodot detects potential problems early, allowing the company to provide proactive support. The Report states: The question that leading companies are now asking is not "How do I improve this analysis?" but "How do I improve this decision?" This question drives analytics into new realms of possibility — the "white space" where analytics tools have not traditionally been used as part of the decision making process. And that is, actually, what drives us. We work tirelessly to bring tools which help businesses leverage their data for the decisions that count. We believe that our business incident detection solution prepares our customers for the business decisions they face each day. I’d like to thank Gartner and their experts who performed an in-depth analysis of Anodot and our unique industry. We are thrilled to be included with other top notch companies working tirelessly to bring effective analytics and next generation BI tools to the market. I'd also like to congratulate the other companies recognized alongside Anodot - Cognitive Technology, OnlyBoth, ThoughtSpot and Veriluma. Read the full report: Cool Vendors in Analytics, 2016 (requires a Gartner account), authored by Gareth Herschel, Whit Andrews, Rita L. Sallam, Lisa Kart, Marc Kerremans and Cindi Howson, 19 May 2016, ** Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Even the tiniest drop in service quality or availability not only impacts customer trust, but can cost a telecom company millions of dollars. Anodot automatically analyzes the vast volumes of network data generated from multiple sources, helping Telcos to optimize service levels, minimize overhead costs and maximize profitability, ensuring customer loyalty and maintaining overall network performance.

We are excited that Credit Karma selected Anodot for their business incident detection needs. In case you haven't heard, Credit Karma provides free credit scores and financial recommendations to 50 million members. They chose Anodot after they had tested multiple monitoring solutions and considered developing in-house. With hundreds of thousands of business and technical metrics to monitor to keep business running smoothly, the multiple teams within Credit Karma have used various tools, but still had delays of 24 hours or more before they could identify important business incidents. “It used to take us up to several days to identify an issue on a specific page, offer, or service that was draining our revenues,” said Pedro Silva, Credit Karma’s Senior Product Manager. “Anodot identifies when a metric increases or decreases in real time, so we can resolve it quickly, before business suffers or revenue is lost.” “We see many companies that encounter a similar problem to Credit Karma; they collect massive amounts of data but do not have a way to access the insights that are meaningful for the business in real time,” said Uri Maoz, Anodot’s head of US Business. “Today’s business intelligence solutions are too static to keep pace with the dynamic nature of online and mobile business; Anodot’s real-time machine-learning driven solution is becoming a must-have for web-based businesses.” Today, using Anodot, Credit Karma identifies several relevant and actionable issues that have a business or technical impact each day. Credit Karma's revenue analytics, technical analytics and marketing teams are currently relying on Anodot’s business incident detection; the eventual goal is to roll out access to Anodot to all the teams in the company. Seamless Integration for Immediate Impact Anodot's ability to seamlessly integrate with Credit Karma's existing infrastructure was a key factor in their decision to choose our solution. The implementation process was smooth, allowing Credit Karma to start benefiting from real-time insights almost immediately. This quick turnaround time has enabled them to prevent potential revenue losses and maintain a high level of service quality for their members. Future Expansion and Proactive Monitoring Looking ahead, Credit Karma plans to leverage Anodot's advanced capabilities to further enhance their operational efficiency. By expanding the use of Anodot across more teams, they aim to proactively address issues before they impact the business, ensuring that they continue to provide their members with accurate and timely financial recommendations. To learn more about how Credit Karma uses Anodot to identify relevant and actionable incidents each day, read the full case study here. Read the full press release here.

E-commerce sites are click- and usage-driven, and customer engagement and revenue are intricately tied together. Early detection of business incidents translates into an agile site that can respond to changes quickly for increased traffic, sales and revenue, optimized ad campaigns, and satisfied customers.