Venture Capital: It is a pricing, not a value, game!

Interesting observations on venture capital pricing models, how VCs attach numbers to companies, how these numbers get updated, and how we (investors, founders, and VCs) should read them, as a consequence.

Good summary for healthy metrics for a SaaS company.  How does yours measure up?

The Rule of 40% For a Healthy SaaS Company 

AWS + IoT = $$$

Here is a nice summary of AWS offerings to target the high-growth IoT market by Grey Heron.

With firms like McKinsey estimating that IoT will have a potential economic impact of $4T - $11T (yes, that really is a 'T' for trillion) by 2025 (11% of the world economy), AWS could be on the verge of a really big new business.  This  seems to play very well to AWS strengths.  Players in the IoT ecosystem should play close attention to AWS strategy in their own planning.

Achieving Actionable Insights from Big Data

Companies who harness and analyze data from transactional systems, social media, and other diverse sources to find valuable insights are more likely to outpace the competition. Yet leveraging big data assets, such as Hadoop, can be challenging. Modern data visualization solutions are helping companies overcome those challenges and present new opportunities for business optimization.

Join TIBCO Spotfire, MapR, and Syntelli Solutions to learn how to:

• Easily access and analyze Hadoop data
• Blend Hadoop with RDBMS data, social media, and other sources for improved insights
• Distribute key metrics throughout your organization for actionable collaboration
• Interactively blend and explore your data for breakthrough insights

Big Data Analytics: Diverse Use Cases, Diverse Architectures

Strata Conference Presentation - February 2015

 

Big Data Analysis as a Tool for Industry (German language magazine byline)
English version 
Predictive analytics and transparency in the process instead of 'gut feel' decisions

Big Data in Production (IT Director Magazine February 2015 - German version)
English translation of article here

'Ben Connors, Head of Worldwide Alliances at Tibco Analytics, ... describes how a manufacturer of biopharmaceuticals monitored more than 200 production variables in the process flows to ensure product quality and purity. "The very complex process has previously caused fluctuations in production volume of 50 to 100 percent in seemingly identical batches. Of course, this fact has led to some challenges in the areas of quality, capacity and utilization, and even in complying with legal regulations," said Connors.'

Use of advanced Big Data analyzes from different sources in the production process tried to find possible trends, dependencies and causalities of this volatility, the Company. "The range of possible influencing factors was doing great, but the company was able to identify the nine variables that have the greatest impact on the volume of production," says Connors. By the corresponding adaptation of the method, the pharmaceutical company could then increase the production volume by 50 percent and save more than five million US dollars per year.