I recently attended .conf2016, Splunk’s seventh annual user conference. Splunk created the market for analyzing machine data (shorthand for machine-generated data), which consists of log files and event data from various types of systems and devices. Our big data analytics benchmark research shows that these are two of the most common sources of big data that organizations analyze. This market has proven to be fertile ground for Splunk, growing steadily with revenues more than doubling over the previous two fiscal years. Machine data is also the backbone for the Internet of Things (IoT) and operational intelligence, which form the basis of forthcoming benchmark research from Ventana Research.
Imagine how the third Monday in next January looks to leaders in the sales department. That’s the first day of the annual sales kickoff and the excitement level won’t get any higher. New products and services are in the works, lucrative customer contracts are up for renewal, alliance partners are in the house, and qualified opportunities are already flowing through your pipeline. The executive team is expecting big things from sales in the new year and has approved hiring additional people to address opportunities that otherwise would be neglected. But despite all this activity, the organization faces two big problems in hiring and integrating new sales staff.
Topics: Business Analytics, Business Collaboration, Business Performance, Financial Performance, Human Capital, Mobile Technology, Operational Intelligence, Sales Performance, CRO, Sales, Human Capital Management, Analytics
It’s part of my job to cover the ecosystem of Hadoop, the open source big data technology, but sometimes it makes my head spin. If this is not your primary job, how can you possibly keep up? I hope that a discussion of what I’ve found to be most important will help those who don’t have the time and energy to devote to this wide-ranging topic.
It often seems to business-to-business (B2B) marketers as if the only people who understand them are other B2B marketers. They feel that salespeople don’t get what they do day-to-day, that friends and family don’t understand what they do for a living, and most of all that the executives to whom they report have no interest in what they do – that is, until the last day of the quarter. Then they require that B2B marketers deliver positive, lead-generating and revenue-producing results in reports that detail how their efforts supported sales in the previous 90 days. And they expect those results to be reported in a format understandable to all.
Topics: Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Hive9 Marketing Performance Management, Operational Intelligence, Operational Performance, Sales Performance, Big Data, Analytics
In July Salesforce officially closed on its purchase of digital commerce platform provider Demandware for US$2.8 billion. Salesforce’s executives were interested in acquiring a digital commerce platform, and they claim that Demandware was routinely mentioned in their due diligence of the market. So out came Marc Benioff’s and Salesforce checkbook, and they paid. Handsomely. For that sizeable investment, Salesforce will add Demandware’s SaaS-delivered digital commerce capabilities to its Customer Success Platform, while Demandware customers will have access to the Salesforce suite of cloud-based sales, marketing, customer service and analytics tools. But savvy business and IT customers are not getting distracted by the details of this transaction or the acquisition’s market impact. Knowledgeable executives expected a significant deal like this for Salesforce, and they were already thinking ahead of laggards who are just now assessing the implications of this transaction.
Topics: Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Mobile Technology, Omnichannel, Commerce, Digital kDigital, Operational Intelligence, Social Media, Uncategorized, Office of Finance