This week I was on a panel discussing the growing state of Cloud Computing and the SaaS BI market. The panel consisted of moderator Nabil Elsheshai, Senior Analyst of Information Management Software and IT Services at Pacific Crest along with Bill Soward, CEO of Adaptive Planning; Brian Gentile, CEO of Jaspersoft; Scott Weiner, CTO of Cloud9, and myself. I want to share some key themes and observations from the event particularly because they set the tone for the next evolution of BI.
The criteria IT uses to buy BI has shifted, resulting in a new approach to BI decision-making. The era of high risk, complex and time consuming implementations is giving way to a new era of quick BI wins defined by specific business use-cases that are implemented in days, not months or years, with no CAPEX spending and extremely fast time-to-value. At PivotLink we’re seeing this shift in buying criteria being driven by both IT and the line of business. IT needs to deliver a faster turnaround on BI solutions for high priority business projects and do so with limited resources. SaaS BI is a perfect augmentation strategy for legacy BI implementations. By enabling IT to better support the business with highly secure, easy-to-use tools and right-time data – all without breaking the bank or bringing on new resources - SaaS BI is the best tool for these high value quick BI wins!
Distributed data management is driving the need for SaaS based BI in the cloud. The panel talked extensively about a reality that most companies face today – managing data that sits both outside their firewalls and inside their on-premise applications. BI in the cloud is the natural place to integrate and analyze data for SaaS to SaaS applications and SaaS to on-premise applications. A good example is the use of SaaS applications such as Salesforce.com, SuccessFactors, and Taleo for sales and human capital management as well as on-premise ERP for financial and other business applications. The sales and manufacturing executives gain deeper insight into demand forecasting from the mash-up of data from the sales pipeline system (SFDC) with data from the on-premise ERP system. Similarly, the marketing leader gains a 360 degree view of marketing campaign effectiveness across lead generation and cost per lead from the mash-up of data from SFDC with data from Marketo with data from on-premise financial systems.
Enterprise 2.0 increases and accelerates collaboration across companies, supply chains and business partners. SaaS BI allows companies to break down silos across departments and strengthen relationships with trading partners by sharing insight, not just data. Outdoor retailer REI uses PivotLink to share analytics and dashboards within their ecosystem of vendors in order to minimize stock-out situations. This is a good example of how Enterprise 2.0 capabilities can bring people and content together quickly, integrate them into existing business processes and drive faster decision-making across an organization’s value chain.
Insight as a Service is the new BI greenfield. The need to turn reams of data into actionable business information has never been more imperative because dynamic insight and decision-making are so fundamental to achieving quick BI wins. Insight as a Service (IaaS) provides a faster, easier and more cost-effective way for business users to securely access relevant data, develop insight and achieve quick BI wins – all within the same application environment. To that end, PivotLink has developed pre-built analytical applications based on industry best practices and KPI’s. These solutions accelerate time to insight by delivering the data and metrics business users need to their desktop.
The old dog will not hunt in the emerging Enterprise 2.0 world. The panel had complete consensus on the fact that the traditional BI stack (complex and cumbersome star schemas, cubes, OLAP tools, heavy handed ETL) cannot effectively suport the new world order of dynamic decision-making, collaboration, distributed data management and quick BI wins. The Enterprise 2.0 world embraces change and thrives on the vast amounts and types of information streaming into the enterprise. This trend (which is quickly becoming the new normal) exposes companies to even more data sources that shift how data maps and relates to one another – which directly impacts the tools and decision-making processes end users require to be effective.
Overall, it was a great session and highlighted the market’s need for truly innovative technology approaches to business intelligence – ones that deliver on the promise of fast implementations, end user self-service and unburdening IT. And as you can imagine, since PivotLink has pioneered a unique columnar database, a no-transformation-required ETL engine and lightening fast in-memory analytics, I couldn’t agree more with the rest of the panel on this matter!








