Remove Aggregator Remove Database Remove Distribution
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Does Fintech Disruption Break The Investment Banking Model?

YoungUpstarts

Here digital intercepts of consumer activities are aggregated into large data sets, analysed, and assessed versus market expectations. Blockchain is a distributed ledger technology (DLT) wherein all network participants can have separate copies of the entire record of transactions on the network. Transaction Processing.

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Requests for Startups in 2024

VC Cafe

I’ve recently come across several of such lists and I thought it could be useful to aggregate them and share them here. What’s missing is the last mile — distribution, customer journey design, guardrails and workflow automation. Transform financial and accounting software from databases to context-aware, proactive processors.

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Intellectual Property for Startups in the Real World

Gust

How much risk do IP issues in the aggregate pose to our business ? Building and populating databases of user-supplied information and content (copyright). What is the risk-benefit calculus for developing and protecting proprietary technologies vs. buying or licensing them (“ build vs. buy ”)?

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What is CRM? Customer Relationship Management Explained

Up and Running

It’s a system that can help you build a database of customer information, stay better connected to customers, and streamline your overall processes. This typically involves a CRM system or tool that helps automate and aggregate various customer touchpoints. Why is customer relationship management so important?

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Amazon Redshift Too Slow or Crashing? BlazingDB Performs

Austin Startup

Massive Scale with Unprecedented Speed BlazingDB offers a massively distributed, “cloud first”, high performance SQL database that achieves performance gains on the largest workloads and datasets at extraordinarily competitive costs. Transformations, aggregations and joins at massive scale is where BlazingDB wins!

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How to Scale Support of Portfolio Companies

David Teten

the “TOPSCAN” framework from my research study on value creation by VCs ): T eam-Building – We aggregate openings across our portfolio on our jobs page. We maintain a database of these corporations’ priority needs — allowing us to identify early clients for companies we back. Steve Newcomb offers a great example.

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Doubling SaaS Revenue By Changing The Pricing Model

www.kalzumeus.com

All Heroku would have to do is come up with four tiers of service, attach reasonable dynos/workers/databases to them, and make that the core offering for 90% of new accounts. You can assume normality for the probability distribution of the average revenue per customer. That’s the central limit theorem. Michael Selik.

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