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The Footprint Behind Blockchain Analytics W/ Footprint Analytics🦶
Diving Into The Goldmine Of Blockchain Data With Footprint Analytics
The Footprint Behind Blockchain Analytics🦶
Blockchain data is a goldmine and an open cave to explore. From user activity to transactions per second, the metrics that represent our industry have ALWAYS been valued however, understanding the origin story of blockchain analytics can sometimes leave us in a whirlwind of doubt.
Joining us today we have one of the pionners of blockchain data who have established themselves as industry leaders in regards to the provision of analytics.
Footprint Analytics are a professional service who revolutionise blockchain data analysis with AI, visualisation tools and multi-chain APIs for both Web 2 & 3!
Let’s dive into the Footprint behind Blockchain Analytics👇
TL;DR📚
Footprint Analytics was founded by early BTC miners and the core team has over 10 years of experience working together.⛏️
The use of AI in data collection and a new GPT tool called Pea.AI has helped streamline data analytics for clients.⚙️
The company's latest feature, Footprint Growth Analytics, allows for easy organization and analysis of both on-chain and off-chain data for projects, making it a valuable tool for strategy and decision-making.📈
The R Roundup: Before we get started, massive thank you for joining us today on RR. For those living under a rock…who are Footprint Analytics & how did the company come together to provide its products + services?
Footprint Analytics📍: Footprint Analytics is a data analytics / data infrastructure provider that incorporates cutting edge AI technology, visualisation tools, and multi-chain data API tools, and SLA solutions for enterprises and users.
The founders are early BTC miners and have been around blockchain for over 7 years. The core team at Footprint has worked together for over 10 years through other previous ventures.
Footprint Analytics Data Solutions
The R Roundup: I must say as a big fan of Footprint, you guys have really exhibited experience which as you stated is evident by how long your founders have been around blockchain as a whole.
It makes us wonder what is it about the nature of crypto & blockchain technology that exhibits a need for data analysis professional services like yourselves?
Footprint Analytics📍: As you know blockchain data is public and accessible for anyone that wants to look into it. The problem arises that often the data is fragmented and scattered across multiple chains, with multiple different chains using different structures to store and compute this data.
With the fragmentation and different languages used in different blockchains, it makes it difficult and time consuming to access the data you are looking for. Footprint makes data analytics easier for those interested by organizing the data into semantic business layers and streamlining your querying process to save time and make your life easier.
The R Roundup: Data does make analysing much easier especially when as stated theres just so much nuance in regards to blockchain that even your tradfi data analyst may struggle to facilitate.
That being said, Footprint goes one step further which is highlighted by the integration of AI. I have always assumed that AI & Blockchain is a bit like oil and water so how does Footprint leverage AI technology within data analysis & are there any hurdles?
Footprint Analytics📍:Footprint uses AI in the data collection process to speed up our data collection and updating.
We also use AI for our new GPT tool called Pea.AI which will be released soon in beta stage.
AI is one of the key tools at Footprint for providing the data on our website that you see today.
The R Roundup: So some Alpha here for our readers Pea.AI is coming soon👀
With that being said can you guys elaborate on how the visualisation aspect of the analysis tools are employed for enhanced insights?
Footprint Analytics📍: Visualisation is key for helping understand the insights you create via data analysis.
It can help organize your thoughts, enhance your interpretation, and can be used to help you easily inform your community about your project's analytics. One of the features we offer is 1 line code chart embedding into your website.
Monthly Chain Report: November⛓️📊
The crypto world was revived in November with a series of major events. New developments drove investor enthusiasm and heightened anticipation for the next bull run.
Let's dive in👇
Crypto Macro Overview📊
▪️ The settlement between United… twitter.com/i/web/status/1…
— Footprint Analytics (@Footprint_Data)
8:03 AM • Dec 18, 2023
The R Roundup: Visualisation is one thing but market cycles are another and As we’ve seen, crypto is such a cycles market, how does that impact a player like Footprint Analytics?
Footprint Analytics📍: As anyone would say who has survived the past 2 years in the bear market, it has been tough.
Luckily no matter the cycle of the market, everyone needs data analytics to help plan their next move. The last cycle Footprint experienced was a great time for us to focus on building new, useful products for our clients.
The R Roundup: Expanding during the bear is one of the strongest signals of a succesful model, big shout out to the team for facilitating that.
As you guys have expanded to new products for clients could you share some real world examples where Footprint Analytics has made a significant impact?
Footprint Analytics📍: There are a couple ways Footprint has made a real world impact.
You can build your project on top of our data APIs, Web3 analysts can use Footprint to save a ton of their real world time, Web2 analysts can use Footprint to get a better understanding of the evolving Web3 landscape and more.
Some major companies like Bloomberg and Animoca have also adopted Footprint’s tools to help with their data and further increase mass adoption.
Footprint Analytics APIs
The R Roundup: Footprint recently launched its FGA (Footprint Growth Analytics), how is this feature used & how would you guys explain it to your 65 year old grandma?
Footprint Analytics📍: This feature is used to help projects easily organize and structure their streams of off-chain and on-chain data.
Currently there are not many great solutions for combining both sets of data into a single portal. Some of these metrics that are important to compare are engagement from both on-chain wallets and off-chain users, revenue streams from Web2 & Web3, and social metrics.
With the Growth Analytics you can also add any off-chain connector you like and get more customized metrics to benefit the different teams in your project and save time to focus building, marketing, strategy and more.
🚨Project Update🚨
Our FGA (Footprint Growth Analytics) is now ready for users to onboard their games and instantly get on-chain gaming metrics that they care about📈
Not only will you get on-chain metrics but users can also onboard various Web2 connectors and customize various… twitter.com/i/web/status/1…
— Footprint Analytics (@Footprint_Data)
4:16 AM • Nov 7, 2023
The R Roundup: New features always opens new opportunities and It seems Web 2 integration is crypto's inevitable path to adoption, can you discuss the collaborative aspects of Footprint working in both Web 2 & Web 3 ecosystems?
Footprint Analytics📍: Footprint is seeing more and more interest for gathering Web 2 and helping combine these metrics with our Web3 data. Some of the ecosystems you can see Footprint integrated in are Bloomberg and various other news sources.
To get a holistic view of all the data available it’s imperative to be able to work in both the Web2 & Web3 ecosystems and provide reference data for both.
Web 2 & Web 3 Data Abstractions
The R Roundup: It seems like we have got quite a bit of background on Footprint and it shows why you guys are leading the narrative of blockchain data.
Now for the extra alpha, what can current users of Footprint Analytics expect in the coming months & what can non-users expect to convert them from competitors?
Footprint Analytics📍: Footprint Analytics users have always been at the forefront of leveraging data to make informed crypto investment decisions.
Today, we're excited to announce an expansion that will redefine how our users interact with data and each other: the introduction of Pea.AI, a groundbreaking toolset to transform the crypto analytics landscape.
Pea.AI sets a new standard for intelligent, interactive data analytics, focusing on user empowerment. This expansion within Footprint Analytics enables smarter, data-driven decision-making. It connects users with a global network of investors and analysts, heralding a smarter, more collaborative future in crypto investing.
The R Roundup: Pea.AI is the key takeaway for all readers and potential users👀
As per traditional RR questioning, we always close off by asking, if there’s one thing you guys could be remembered for in crypto, what would it be?
Footprint Analytics📍: If Footprint or Pea were to be remembered for one thing in crypto, it would likely be for revolutionizing the way investors interact with data, making complex analytics accessible and predictive through the seamless integration of AI, and fostering a collaborative community that empowers users to make smarter, data-driven investment decisions.
Thank you Footprint Analytics for joining us today below we will add all their links so you don’t miss a THING👇
As a reminder, this is not a trading signal or investment advice; it is an opinion, and each trader/investor should know and understand the risks of trading cryptocurrencies.
This should not be regarded as financial advice; feel free to familiarise yourself with our NFA disclaimer.
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