By: Ray Chelstowski You’re not. Almost every day news breaks about a major marketer either launching a first-ever loyalty program or relaunching an existing program with additional benefits and opportunities to earn rewards. Why is this happening? It seems that the pandemic forced even the most resistant consumers to embrace e-tailers. Not being able to visit brick and mortar stores pushed everyone to shop on line. In turn brands quickly learned that the quickest way to avoid reducing their proposition to price was through loyalty. This propelled the loyalty industry from its “earn and burn” legacy to a place where technology and data are allowing brands to create personalized offerings and experiences that establish real value and repeatable engagement. This momentum quickly caught the attention of QSR’s like McDonald’s and Burger King who had not previously embraced loyalty. Not only did these companies scale quickly, but they beta tested new technologies that provided thei...
A data lake is a central storage repository that holds a large amount of raw data for later use. Since data can be stored as-is, your business doesn’t have to waste its effort on converting, structuring, and filing data until it is needed. This allows a data lake to offer much greater flexibility, cost-effectiveness, and scalability. On the flip side, though, this kind of flexibility can be data lakes’ Achilles heel. An unmanaged data lake can become a “data swamp” if it is used as a dumping ground with poor integrity, poor quality, stewardship, governance, and data protection. In turn, data lakes have historically failed because they often lack any degree of pre-planning. Instead of building their data lakes in accordance with specific needs, organizations were haphazardly dumping data into them, with much of it being useless and unidentifiable. And while the point of a data lake is to eventually have most of your company’s data available to enable a wide variety of analytics, you mus...