An op-ed I wrote for VentureBeat on why Salesforce launched Wave and the impact that will have on the analytics industry at large:
At Salesforce.com’s Dreamforce conference in San Francisco on Monday, Marc Benioff unveiled his company’s much anticipated Wave Analytics Cloud product. Marketed as “analytics for everyone” with a focus on mobility and slick visualizations inspired by video games, Wave aims to bring more analytics to decision makers more quickly.
Wave is great news for Salesforce’s massive customer base. Current customers will gain the ability to easily attain valuable insight via modern dashboards on any device, and to even execute advanced analytical operations on all types of business data. This business-intelligence (BI) approach, which appears to treat customer analytics (sales, customer support, and marketing) as a first-class citizen, is quite a departure from current horizontal BI tools like GoodData, Birst, and Tableau that focus more on performing analytics across a myriad of functions. This Salesforce Analytics Cloud is sure to deliver real business value by offering a platform that’s more specialized for customer needs, which makes sense since most use cases for BI are related to sales and customer analytics.
Why analytics is a great move for Salesforce
Anyone close to Salesforce knows that Analytics Cloud is a huge step beyond the company’s standard reporting capabilities, which have historically been rather limited. Until now, the system really just scratched the surface of a business’ sales data (try to report on something like your sales cycle lengths by lead source over time, and you’ll see what I mean). That said, it was smart of Salesforce to leave analytics up to its AppExchange partners in the beginning, because the company was busy building the SaaS world we all play in today, starting with its customer-relationship management platform. Tackling analytics at that time would have been like running two entirely different companies.
However, over the past couple years, the data needs of modern sales and marketing leaders have grown dramatically with the rise of big data. Customers are hungry for insight, and have been asking why Salesforce doesn’t offer seamless, built-in, advanced analytics. Most companies just don’t want to move data between multiple services, especially if they have rigorous security policies or huge data sets. In this data-driven environment, Salesforce’s customer satisfaction has become heavily dependent on partners it can’t control, making it increasingly important for the company to shift toward a hands-on approach to analytics and meet customers’ needs directly.
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