Download Mint Data
Sherri Herston
While I do want to find my next tool before the start of 2024 (so at minimum I start with 2024 as a complete year in a new tool), I'm most concerned about options for data export and data migration for now. I just found out about the Mint shut down last night. I've been using Mint since 2008, so I have my whole adult life's financial history on Mint.
Is there a post or article detailing the most comprehensive way to export your Mint data? I know how to download the Transactions table, but there are all sorts of other tables that make up Mint data, so I'm trying to figure out how I want to save everything. I am well-versed in PowerBI for making visuals, so if I get all the data, I could make my own charts to reference historical data.
Are there any tools out there coming to light (and this might take a bit of time) that are offering to also help people bring their Mint data in to the new platform for historical data continuity?
I have 12 years of data on Mint that I don't want to lose when I make the switch. For those who have been receiving Mint emails (I've received none), do they give an estimated timeframe on when we should have our data downloaded?
Thanks abcaoathup, so I see that basically _data parameter is just there to keep compliance with the standard most of all.
Can you provide some insight about why the standard enforce this? I mean the reasons why. I understand that a any particular deployment could overwrite this method and do something with that data, maybe as a way of using a tag for some minting transactions and just emitting enriched data events or something else... I mean, there is no enforced _data argument on erc20 or erc721 for e.g., this makes for example that any wallet or dapp or third party contract that will mint on erc1155 should be aware of adding void arguments when calling this function. Just like you do in GameItems contract constructing_an_erc1155_token_contract
I have been using mint.com for some time to track my personal finances, and I'd like to be able to download my data so I can perform more in-depth analysis than what is provided on the site. Mint.com also lost a good chunk of my data recently, and their customer service is less than stellar, so I'd like to keep a copy locally.
A second option is to write a script that authenticates to mint.com and scrapes the site periodically. Has anybody attempted to do this (in any language on any platform)? I have a feeling it would be a little more difficult than sending a password to a login page and saving the session cookie returned in the response.
Since mint is not available in the EU yet, there is a solution with a direct access through the figo Banking API.If someone is interested in financial data from banks and other financial sources in the EU, I would check out www.figo.ioAPI-Access will be granted with a request here: _key.html
Then I added and re-arranged columns using data from the accounts in Tiller. I just cut and pasted the results of my editing into the balance history sheet. There may be an easier way, but that worked for me.
Right now, Mint Mobile looks to be one of the better choices on the market for those on the hunt for a cheap data-laden cell phone plan. Its latest addition, the Mint Mobile unlimited data plan, looks especially tempting at just $30 a month.
But, how good is the Mint Mobile unlimited data plan really? Is it truly unlimited, and is it worth the money? We're always on the lookout for the best cell phone plans for our readers here at TechRadar, so let's put this prepaid plan under the lens to see if it can really offer that value that Mint Mobile is well-known for.
The Mint Mobile unlimited data plan has been a fairly recent addition to the prepaid carrier's site, having been introduced back in September of last year. Previously, the carrier only offered limited-data allowance plans, which really allowed it to establish itself as one of the better valued prepaid carriers out there.
As with all Mint Mobile plans, the Mint Mobile unlimited data plan is cheapest when you buy a full year of service in one big chunk. At $360, that can be a significant investment for some, although it does come with the added benefit of not having to pay those bills on a monthly basis for quite some time. Averaging out at $30 a month also makes it pretty much the cheapest unlimited data plan on the market right now.
For just $30 a month (at its cheapest rate), the Mint Mobile unlimited data plan looks to be a fairly well-rounded and feature-laden cell phone plan indeed. Staples like unlimited talk and text are of course fairly common on even the most cheap of prepaid phone plans, but it's rare to see things like voice-over-LTE and free mobile hotspotting included into the price of a cheaper plan.
The eagle-eyed of you will have spotted that the Mint Mobile unlimited data plan has a stipulation of 'only' 35GB of data at 5G speeds. This is essentially a soft-cap on the amount of high-speed data you can use per month. While this is a fairly common practice for most carriers (even at Verizon and T-Mobile), you'll definitely want to bear this in mind since after your 35GB of 5G is up you'll be reduced right down to a soul-crushing 128KB/s data speed. For context, that's enough to send a few messages and emails, maybe browse a few pages, but not much else.
So, does this mean the Mint Mobile unlimited data plan is truly unlimited? The answer is - well, sort of. If you're a medium to light user then you'll most likely never encounter a hitch here, and you won't be cut off from your data under any circumstances. Still, if you're a heavy user then you won't find truly unlimited 5G data speeds at Mint Mobile just yet.
As you can see, the Mint Mobile unlimited data plan is pretty damn cheap, even when compared to other prepaid phone plans out there. On average, it's coming in at $10 a month cheaper than Visible Wireless, which is probably Mint's main competitor in the cheap unlimited cell phone plans market. It's worth noting, however, that Visible does offer unlimited data at 5G, which is excellent, and also has flexible party-pay options that can get your bill down to as low as $25 a month with a 4-line party.
Bengaluru: Ever since the world went online, one of the most common assumptions driving many a business (and business models) has been that customer data is a prized asset, and anyone with sufficiently large volumes of it would be able to monetize it in a big way. More the data, the better the monetization potential.
Let us take an online e-commerce company like BigBasket or Amazon. The amount of data that each of these companies have about their customers is mind-boggling. Every click on their app, or website, is tracked through sophisticated tools employing big-data frameworks.
Therefore, if your basket size is a thousand rupees, all that this data crunching and insights engine is achieving is to increase it by a rupee. Doing anything that increases the basket value of a customer is perfectly understandable as long as the cost of doing it is insignificant. Hence, it is not a bad idea to make a small one-time investment to build a recommendation engine, but making a big noise about how crunching big-data can transform your business, at least in this context, is a bit far-fetched.
Just to clarify, the founders of BigBasket are smart and understand this well, unlike some others who either blindly believe that the value of monetizable insights is proportional to the amount of data or use this argument to impress themselves and their investors.
DMart, an offline retail chain, is hugely profitable and has a market capitalization of $30 billion. Every e-commerce company, big or small, has several hundred times more data about their customers than DMart has about its customers. Crunching big-data does not seem to be helping them given that they are burning big money. What DMart did really well, like Amazon, is that it made its strategic choices wisely based on a deep understanding of its target customers, and then went about ruthlessly executing on these without being distracted by fancy notions.
Of late, there is increasing scepticism of business models that treat users as the product, by offering a free service that customers/users would otherwise not pay for, with the hope that their data could someday be monetized.
All this is not to say that data is not helpful. John Snow, an English doctor, used the power of data to pinpoint the source of cholera in London in the mid 19th century. There are hundreds of similar examples.
Data analytics is an extremely evolved science and is an outcome of applying the knowledge at the intersection of statistics and computing power to solve several complex problems. For example, it has been extremely helpful in interpreting images from medical scans to pictures of remote parts of our universe. The whole science of image recognition through machine learning relies on the power of data crunching.
The ability to spot useful patterns and signals by the use of data has never been under question. What is under question is the ability to derive significant monetizable insights by crunching big data.
In conclusionCrunching big data is somewhat akin to creating better image resolution. But when this is applied to business, it has to stand the test of the universal yardstick for evaluating the effectiveness of any tool or technique, namely, the impact it can create on the top line or bottom line. Unless the enhanced resolution results in recognition of new patterns that were not discernible at lower resolution with lesser data, there is no advantage of crunching this humongous data. And even if you assume that some additional patterns do show up, there is the non-trivial problem of monetizing them.
This is where the universal Pareto principle kicks in, which is, 80% of patterns are evident with 20% of the data. Beyond this is the valley of severely diminishing returns. When you have a hammer in your hand, everything looks like a nail. In this case, the hammer is computing power.
760c119bf3