Tag Archives: examples
Yesterday was the first day in a month that I handled cash. For weeks everything I’ve purchased and paid for has been handled by digital means. Debit cards, direct debits and deposits, internet purchases – it’s all 1′s and 0′s flowing through the tubes, and it’s makes my life very easy. However, now that the flow of money in and out of my life is easier, I have to find new ways of being aware of what’s happening to the money. I’ve gathered up a few examples of QS projects, show&tell talks and articles related to money – please feel free to share your own favorites. -Ernesto
Amaan Penang: Making Data-Driven Financial Decisions
Amaan Penang was faced with a life change when he moved from Texas to California to start a new job. While preparing for the move he started to examine his financial health and was surprised by what he didn’t understand about his spending and income. Using the popular financial tracking software, Mint, he started to examine his historical spending. In this talk Amaaan explains what he learned and how he was surprised to find out how this data opened up the doors to exploration and better financial health.
Natty Hoffman: The Enlightened Consumer
Natty had a large amount of financial data, over 14 years of expenses and spending, that she was accessing from credit card and bank statements. Because of her work as a consultant she was experiences with understanding and reconciling her various accounts and reimbursements. It wasn’t until attending a QS meetup in Boston that she realized that there was more to her data than just historical financial documents,
“I didn’t really think much about this data until I went to a Quantified Self meetup a few months ago. And then I said to myself ‘You know, I have some pretty interesting data about myself as a consumer and I wonder what I’m going to find out.”
Natty started exploring her data by looking back at the last two years to better understand the where her money was going based on a broad categorization scheme. But, she didn’t stop there. She went on to explore exactly where she was spending her money and found that she was a customer of over 300 different businesses over the two years she examined. Intrigued by the the companies she frequented she went deeper and started to see how she did as a consumer and if her spending behavior matched her personal ideals.
Matic Bitenc: Manual Finance Tracking
Outside the US there aren’t many good options for automatically tracking personal finances. Matic and his partners created Toshl Finance, an application for manually tracking how he was spending his money. In this talk Matic describes what he learned about his expenses and lifestyle by using a simple tag-based system and easy to understand visualizations.
Examples of Personal Finance Tracking
Tracking, Classifying, and Comparing Expenses by Karsten W.
We featured this very interesting tracking project in 2012 when Karsten embarked on a experiment to track his spending via a simple Twitter tool. Not satisfied with just tracking, he also categorized and compared his spending habits to what a typical person in his country (Germany) spent in different categories.
How I track my personal finances and Keeping (financial) score with Ledger by Sacha Chua.
Two great posts by our QS Toronto co-organizer, Sacha Chua. In the first she describes how she sets up understanding her financial life, and in the second she describes her tracking methodology.
I Tracked Every Penny I Spent For One Year. Here’s What I Learnt by Todd Green.
As the title says, Todd tracked his spending for an entire year. In this post he describes the process and the top 10 lessons he learned.
Articles of Note:
The Quantified Self Movement Reaches Personal Finance
Key Quote: “Personal finance tools as they evolve will take this technology much farther. GPS-based navigational systems have both improved and become more ubiquitous as raw data have become more available and the cost for both devices and services has dropped. So too will personal finance apps begin to follow us around. They’ll live in our phones or on our wrists, pulling in real-time data to help us take control of our own short-term liquidity and solvency needs and long-term retirement goals.”
What Health and Finance Can Learn From the Quantified Self Movement and Each Other.
Key Quote: “Few domains of life are as quantified as your financial self — you have your credit score, savings and checking balances, 401Ks, stocks, bonds, funds and more aided by countless apps, reports and plans provided by banks, employers and financial advisors all available online, on the phone, in person and at your local ATM.”
Banking on you — how wearable tech could change finance.
Key Quote: “Historically, banks have been some of the richest repositories of data — but also the least likely to do something innovative with it. This is partly due to regulation, but mostly due to a self-limiting mindset prevailing in the banking industry. Till now, consumers have accepted this status quo, but not for much longer. As they find their ‘quantified selves’ no doubt their demand for insights into their finances will increase.”
Financial Wearables – Part 1: Can high-tech wearables solve underserved people’s financial problems?
Key Quote: “Managing money in cash is time consuming—time to get cash, calculate it, record your every transaction. Banks do most of those actions, but do not teach you how to spend better and save money at the same time. The potential power of wearables is not in presenting you with “transactional information” about how many steps you took on a given day, but rather in showing how you can improve those steps over time with alerts, recommendations and visual elements. Banks could use the “wearables” power to incentivize users to better their financial health, deliver liquidity management tools and foster strong banking relationships and maximizing customers’ assets instead of their fees. It not only helps individuals but the bank as well.”
YOUR MONEY-Financial obsessives track every penny, every minute
Key Quote: “Australian academics Ken Cheng and Megan Oaten of Sydney’s Macquarie University once had volunteers write down every single purchase for four months, which led to marked improvement in their financial lives. They also found that positive financial habits started bleeding into other areas, with the volunteers improving their behavior in everything from house cleaning to exercising.”
‘Quantified Self’ Movement Now Lets You Track Your Money Too
Key Quote: “Cozy Cloud co-founder Frank Rousseau was originally inspired to invent the self-hostable personal cloud platform because he wanted an open source alternative to Mint.com, he told us earlier this year. But the hard part is that most banks don’t provide APIs to help users get their data out of the banks, according to the project website. To do this, Open Bank Manager is relying on a tool called Weboob (WeB Outside Of Browser) to scape data from banking sites.”
ToolsNot a complete list, so please add more in the comments and we’ll update here
Money, by Jumsoft
Also make sure to check out the long list of personal finance apps people are talking about on Product Hunt
Why Wesabe failed: Marc Hedlund’s Challenge
An interesting look back at how another personal finance tool failed in the face of competition from Mint.
How can new interactions with digital money make us more aware of our spending? Chris Woebken talks about this design experiments here.
This is a visualization of one month of my blood sugar readings from October 2012. I see that my control was generally good, with high blood sugars happening most often around midnight (at the top of the circle). -Doug Kanter
Richard Bernstein, an engineer with diabetes, pioneered home blood glucose monitoring. What he learned about himself contradicted the medical doctrine of his day, but Bernstein went on to become an MD himself, and established a thriving practice completely devoted to helping others with diabetes. We think of Dr. Bernstein as a hero because he used self-measurement to support his own learning, and shared what he learned for general benefit.
Tracking personal metabolism is a necessity for diabetics, and it is also something that will become increasingly common for many people who want to understand and improve their metabolism. Diabetics are also leading the fight for personal access to personal data, and we’re looking forward to meeting inspiring activists and toolmakers today at the DiabetesMine D-Data Exchange meeting in San Francisco. In honor of this meeting, we’ve put together an anthology of sort of QS Show&Tell talks about diabetes and metabolism data.
Jana is a Type 1 diabetic and data visualization practitioner who has been working on creating new techniques for understanding that data from her Dexcom continuous blood glucose monitor. In this talk, she described some of her newest techniques and her ongoing work with Tidepool.org. You can also view her original QS show&tell talk here.
Doug has been featured here on the QS website many times. We first learned about Doug through his amazing visualizations of his own data (like the image above). At the 2013 QS Global Conference, Doug shared what he learned from tracking his diabetes, diet, activity, and other personal data and his ongoing work with the Databetes project.
We spoke with Doug about his experience with tracking, visualizing and understanding his diabetes data. You can listen to that below.
James is a graduate student, professional cyclist, and a Type 1 diabetic. In this talk at the QS San Diego meetup group he talked a bit about how he manages his diabetes along with his near super human exercise schedule and how he uses his experience to inspire others. (Check out this great article he wrote for Ride Magazine.)
Brooks, a Type 1 diabetic, was tracking his blood glucose manually for years before switching to a continuous blood glucose meter. In this talk he describes what he’s learned from his data and why he prefers a modal day view.
Bob tracked his fasting blood glucose, diet, and activity to find out what could help him lower his risk of developing type 2 diabetes.
Vivienne’s son was diagnosed with Type 1 Diabetes two years ago and she’s applied her scientific and data analysis background to understand her son’s life.