Data Points is changing the way institutions and individuals understand the nature of wealth-building. I am excited to announce the members of Data Points’ advisory board, a group that will provide expertise as Data Points continues to develop products and services based on Dr. Thomas J. Stanley’s research. Each advisor brings wisdom in his respective field and will help propel our business forward. …
Why do we spend money? Why do we buy things we don’t need or items that are outside of what we can afford? What advice should we heed if we’re trying to improve our ability to walk out of a store with only what we intended to buy? Some argue that gender, ethnic group membership or socio-economic status alone can explain differences in shopping and spending. Like with other areas of research (including affluent …
Take two children from seemingly similar advantaged, affluent backgrounds – perhaps parents with similarly prestigious jobs, the same type of family structure, high SAT scores, same GPAs, even the same interests and career plans. Why, in the future, would one end up with a significantly higher income than the other? It may be self-concept, or more specifically, core self-evaluations (CSEs): a set of psychological characteristics that include a belief in one’s worth and one’s …
Will you be teaching children or students what it takes to build wealth this year? What will you teach them or encourage them to do? Think back to your time growing up. You probably can point to an event or a set of experiences that greatly influenced how you manage finances today. Recollections such as these were discussed extensively in the The Millionaire Next Door and The Millionaire Mind. Successful, financially independent Americans recounted childhood or early work …
A data point is a measurement or set of measurements of a single member of a particular population. For the financial services industry, client data typically include age, income, net worth, investable assets, risk tolerance, attitudes, and perhaps big data (with or without theory). This information is traditionally used to describe wealth groups (e.g., mass affluent, ultra high net worth) and determine relevant products and services. What’s missing? The scientific measurement of relevant wealth-building behaviors and life experiences …