In some cases, traffic sellers don't even send real bot traffic. After all, why spend the effort making botnets and incurring bandwidth costs from the bots actually loading webpages, when you can you just trick Google Analytics to show phantom traffic. This is exactly how GA is being exploited now — fraudsters are sending false data into GA to make it appear they are delivering tons of traffic when they are actually delivering no traffic at all.
The fake data being written into Google Analytics can also be very detailed, using Urchin Tracking Module (UTM) parameters, a throwback to its creator. For example, the perpetrator can write any parameter like "utm_source=Facebook" and GA faithfully records that as a "social" visit. If the url contains "utm_medium=cpc" it is labeled as paid search; if "referrer=google" it is labeled as organic search, and so on.
ICE seeks support for analytics platform -- GCN
Immigration and Customs Enforcement's Homeland Security Investigations unit is holding an April 28 industry day to discuss the program and acquisition status of its Repository for Analytics in a Virtualized Environment.
Since 2018, the RAVEN team has been has been working on its cloud-based next-generation analytics platform that will give HSI users in law enforcement a suite of search, analysis and reporting tools to run across raw or unevaluated datasets. Now, HSI is preparing to issue contracts for three support services categories: data analytics, user interface/user experience and DevSecOps.
Big Data Analytics Startup Kyligence Raises $70M In Series D Funding
Next-generation data analytics startup Kyligence has closed a $70 million Series D round of funding, the company said Wednesday.
The company said it will use the new funding to “continue powering its global expansion and rapid customer adoption.” The financing will specifically be used to fuel the company’s research and development efforts, especially in developing cloud-native and machine learning technology, the company said.
“Today’s cloud data warehouses and data lake analytics are struggling to deliver cost effective analytics as data and user volumes explode,” said Luke Han, Kyligence co-founder and CEO, in a statement. “Kyligence can vastly improve the economics of these platforms via our cloud-native architecture and AI-augmented operations.”
Show me the money – insurers see benefits of data and analytics | Insurance Business
Despite the clear benefits of engagement with data and analytics, insurance companies have been laggards compared to their financial services counterparts, according to Amir Raskin, data and analytics product strategist at Sapiens International. But this is slowly starting to change, especially as more insurers see concrete results from investments in innovation and technology.
“Claims management is the first area where I expect data and analytics solutions to become standard,” Raskin told Insurance Business. “There’s an understanding in claims management today that the response to the customer is far away from optimum […] but with technology, positive changes can be made. On average, the general insurance company spends about a third of their total expenses on claims, and approximately half of that goes into managing these claims.
Tapping Data Analytics To Fight Rewards Fraud | PYMNTS.com
Loyalty programs remain key revenue drivers for restaurants despite the financial hardships brought on by the pandemic.
One survey found that 72 percent of United States consumers have enrolled in at least one rewards offering, with these programs becoming increasingly popular as customers look to stretch their dollars with discounts and special offers.
This surge in loyalty-focused offerings is unfortunately also resulting in an influx of unwanted guests: fraudsters. Bad actors are following consumers onto mobile and online channels to launch their loyalty-focused schemes, but restaurants are fighting back. Many quick-service restaurants (QSRs) are incorporating data analytics and artificial intelligence (AI) software designed to beat cybercriminals who have extended their reach across networks.
CluedIn raises $15M to grow its data prep and analytics platform | VentureBeat
Data management startup CluedIn today announced the closure of a $15 million series A funding round led by Dawn Capital, which brings its total raised to over $16 million. The company says that the proceeds will be used to build out its platform, expand its sales and marketing team, and drive partnerships and expansion, particularly in the U.S.
Most enterprises have to wrangle countless data buckets, some of which inevitably become underused. A Forrester survey found that between 60% and 73% of all data within corporations is never analyzed for insights or larger trends. The opportunity cost of this unused data is substantial, with a Veritas report pegging it at $3.3 trillion by 2020.
'Information is king': Why the Ravens' embrace of analytics could help in a daunting draft year -
For all the concerns the Ravens might have about taking a first-round wide receiver in next week's NFL draft — value, fit, the middle finger of history — they can be assured of at least one thing: He will not be slow.
At LSU's Pro Day, Terrace Marshall Jr. ran a 4.38-second 40-yard dash. Minnesota's Rashod Bateman and Florida's Kadarius Toney each posted a 4.39. Mississippi's Elijah Moore came in as quickly as 4.32. By the unofficial times measuring straight-line speed over an arbitrary distance inside a controlled environment, these are fast prospects.
Tracking product analytics? Here are 3 mistakes to avoid | Sifted
Tracking data correctly can give your startup a competitive edge, giving you insight into what your customers actually want, how they're interacting with your product and if they're about to take their business elsewhere.
Yet many 'data-driven' startups still make fundamental mistakes when tracking analytics, especially when it comes to their product.
We spoke to data experts and startups about how they got started with product analytics — and how you can learn from their mistakes.
Analytics complement passion for venture capitalists - DBT
As important as timing and luck are for entrepreneurs hoping to grow their small enterprise into a Wall Street darling, entrepreneurs with good ideas often fail to raise money from venture capitalists because they don't sufficiently integrate data and analytics into their plans.
Based on our experience, most venture capitalists (VCs) expect to see the following in any funding request:
Few people predicted the pandemic but companies that could show with data their adjustments to their growth and risk plans (e.g., how productive their employees are in a virtual environment) were more likely to keep their investors calm and reduce distractions from the myriad of ad-hoc data requests.
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