Need to speed up your BI insights? Crunch Data’s C-Connect development team is busy keeping up with an ever-expanding array of systems that your business depends on.  The matrix below is a snapshot of our continuous commitment to providing you BI services across all forms of systems and the valuable data they generate.

Excerpted from Harvard Business Review (Nov 2016):

Question 1: What decisions drive waste in your business? Most businesses have large sources of waste. Consider the world of floral retailing. The average retail florist can sustain spoilage rates of more than 50% of their inventory. More than half of their flowers simply become refuse. So for innovators like UrbanStems and the Bouqs, the data that makes their businesses so disruptive is the data that enables them to eliminate that spoilage.

In the words of the Harvard Business School’s Ben Edelman, “waste makes for opportunity.” Whether it’s in industrial production, retailing, or legal investigations, figuring out your sources of wasted effort and resources should guide the way toward the right data. Whether it’s as simple as identifying predictions you know you make (how much inventory to stock) or whether it requires you to think about the decisions implicit in your business model (how a cab drives around the city at 10 PM), charting out the decisions will point you toward sources of waste.

Question 2: Which decisions could you automate to reduce waste? Once you have your decisions, the hypothetical becomes what you can actually change. Humans are wonderful at making certain types of decisions. When it comes to deciding which campaigns will elicit the most irrational reactions of other humans to branding and marketing materials, humans can be brilliant. These types of decisions should stay (for now) in the hands of people.

But when it comes to making simple, repetitive, operational decisions (like where to send a cab, how to price a product, or how many flowers to order to a floral shop), machines tend to be much better than people. And although many business models of the 20th century are predicated on human control of these decisions, today we can identify the data to automate more of these decisions than you’d imagine.

Question 3: What data would you need to do so? Once you have an understanding of the waste in your legacy system and you’ve charted out the decisions that result in that waste, the last step is asking a simple question. If you could have any piece of information, however unbelievable, to make the perfect decision, what would it be?

Our connectors help you discover the answers to these critical questions much faster:  


1 Amazon S3 Icons 20-by-20-edited-25-2-16 02.gif
2 Asana Asana.gif
3 Basecamp v2 Basecamp.gif
4 Bitly Bitly.gif
5 Box Box.gif
6 Concur Concur.gif
7 Dropbox Dropbox.gif
8 Exact online Exact online.gif
9 Facebook Fans Facebook.gif
10 Freeagent Freeagent.gif
11 Google Adsense Gads.gif
12 Google Analytics Google Analytics.gif
13 Google Big Query Google Big Query.gif
14 Google Calendar Google Calendar.gif
15 Google Drive and Spreadsheets Google Drive and Spreadsheets.gif
16 Google Prediction Google Prediction.gif
17 Harvest Harvest.gif
18 Instagram Instagram.gif
19 Jira JIra small.png
20 Klout Connector Klout Connector.gif
21 Linked In Linked In.gif
22 Mailchimp Mailchimp.gif
23 Mashape (App Hub) Mashape small.png
24 Microsoft Dynamics Ax
25 MSFT Dynamics CRM Online MSFT Dynamics CRM Online.gif
26 NetSuite NetSuite.gif
27 OData OData.gif
28 OneDrive One drive small.png
29 Pipedrive (Sales CRM) Pipedrive.gif
30 QuickBase Intuit (PM) Quick base small.png
31 SalesForce
32 Salesforce Desk (Support Desk) Salesforce Desk.gif
33 SurveyMonkey SurveyMonkey.gif
34 Twitter Twitter.gif
35 Windows Azure Data Marketplace
36 Xero (Accounting) Xero.gif
37 Youtube Analytics Youtube Analytics.gif
38 Youtube Data Youtube Data Connector.png
39 ZenDesk (Support Desk) ZenDesk.gif

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