Data = Money
Kontinuierliche Datenauswertung, der Aufbau eines Information Warehouse und die Überleitung in Business Intelligence - all dies spielt auch bei Start-Ups eine wachsende Rolle. Wer erst noch bekehrt werden muss, sollte einen sehr interessanten Beitrag des kanadischen Entrepreneurs Yosh Yoskowitz lesen. Die wichtigsten Zitate haben wir hier aufgelistet.
Gut gemacht - der Artikel bringt die Argumente für kontinuierliche Datensammlung auf den Punkt. Die meisten Gründe gelten für kleine und große Unternehmen.
Erstes Zitat:
What data should you collect? Anything and everything. Collect as much as you possibly can, even if you’re not sure of its value upfront. Data has a sneaky way of revealing things over time - things you might not have thought of immediately. Data has a way of helping you figure out what questions to ask, because it exposes trends, and allows you to look at things with different perspectives.
Zweites Zitat:
Why Data = Money
1. The data itself can be valuable. People will pay for data if it helps them answer questions they need resolved. It’s really as simple as that. And entire businesses have been built on collecting data and reselling it, or selling the knowledge gained from the data.2. The data can optimize your business. You can use the knowledge gained from data to become more efficient and innovate, which will save you money. And saving money means making money.
3. The data can lead to new business opportunities. Simply understanding what parts of your product people use can help you find ways of staying focused and making more money from it.
4. The data can drive product development. You may even discover new products worth building based on the data you’re collecting.
5. The data can drive sales. For example, we track “last login” for customers that haven’t yet published their career web sites. When we see a prospect that’s recently logged in, we get in touch to see how things are going, and very often can convert them on the spot.
6. The data can improve customer support. Fixing bugs is always frustrating when you don’t really know what a user was doing. And as much as you’d like them to tell you, they can’t always do a good job of it. If the data can help you figure out how somebody was doing something when they ran into trouble, you’ll be able to fix it faster. That’ll make your customer happy. Happy customers spend more money.
Es lohnt sich übrigens, die verschiedenen Links und auch die Kommentare nachzuverfolgen, da finden sich noch gute Beispiele, die die Thesen belegen.
Link:
Data: A Startups Secret Money-Making Asset
What Data Should You Collect?