Everybody knows that, Big Data comes with its data cleaning and labeling issues prior to revealing its magic, you have to properly feed the Big Data visualization tools with the right data. That\u2019s for Big Data.<\/p>\n
But what about enterprises, what\u2019s their excuses for not making the most of their data and not acting upon priceless customer insights provided by their, who knows, BI experts, Dashboards Metrics, IT Consulting Firm, CRMs, Databases drilling, etc.? None really, considering the incredible technology budgets CMOs have been granted in the last decade or so\u2026 because, let\u2019s be honest, the responsibility mostly falls on the shoulders of CMOs, they\u2019re the ones that should be looking for such valuable data to enhance the customer experience and better understand the customer journey.<\/p>\n
But the fact is: \u00ab\u00a0only 28% of businesses believe they are generating strategic value from the data they collect<\/em><\/strong>,\u00a0\u00bb based on numbers from Business News Daily. Blame it on the CMOs. Well, that\u2019s what C-suite’s have been doing, grading them only \u00ab\u00a0C\u00a0\u00bb in 2015, in terms of efficiency. (source: VisionEdge Marketing)<\/em><\/p>\n So, the pressure is on for CMOs to get good at data\u2026 very good and very fast!<\/p>\n But, before CMOs magically turn into behavioral scientists<\/strong> maybe they need a little help. And who is, within the enterprise, well acquainted with data, which some even call data scientists<\/strong>? That\u2019s right, IT people; CTOs, CIOs or your friendly neighbour, the IT Consulting Firm that\u2019s been doing wonders with data for you, for years.<\/p>\n We know when the Big Data magic happens; by adding unstructured data on top of structured data. But before you jump on the Big Data wagon and start investing big money into Big Data tools, maybe you can start by evaluating what you can do with what you already have\u2026 with the help of the CMO\u2019s best friend: the\u00a0CTO, CIO or IT Consulting Firm.<\/p>\n So let\u2019s see what data landscape the digital age has got us accustomed to in recent years, where does the data originate from; here are six typical digital-age sources of meaningful data for the enterprise:<\/p>\n And here are a few suggestions of data models you can start creating to turn data into priceless insights and food for Big Data . One must take notice that some of these data models are already provided in some ways by major digital players, software and digital services suppliers, such as\u00a0Google, Amazon, Microsoft, Apple, Facebook, etc.:<\/p>\n (source: VisionEdge Marketing)<\/em><\/p>\n CMOs must start working together with their CTOs and IT Consulting Firms to create data models to\u00a0improve the Customer Experience and, eventually, feed the Big Data monster. As for data, that’s the BIG deal. And it can start right there, within your walls.<\/p>\n <\/p>\n Denis Paul & Michel<\/strong><\/p>\n Cover Image: iStockphoto \/ Jirsak<\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":"\n
Data Models<\/strong><\/h3>\n
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