Analytics | Mobile | Visualization

The session is about why data is only an instrument among many others and not the only-one solution to achieve outstanding results. Since most of the experts and companies truly believe that only data, testing, analytics etc. will bring the ultimate solution to compete on the market. The reality shows, that data is only supporting us and in many cases big decisions are often met based on gut-feelings, critical-thinking, focus and vision of a company. Also the imagination of “we can solve everything with data” holds us to make important decisions, because people are scared to fail and they stop doing anything. In this session you will get insights what is needed to capture the right data for decision-making processes, why to start with the pain points and which concepts should be implemented. Also top five analytics lessons will be shared to make your business more effective, eventually!

#8 Academia and business are two different worlds

The only thing that matters is getting to product/market fit (Source: by Marc Andreesen, June 25, 2007).

8 Top Line KPIs to Measure your Ecommerce Business (Earnings Call Q1/2015 Zalando)

It's funny because it's true.

Again some top predictions for 2015:

As data becomes more accessible and analytic tools become easier to use and readily available, data science won't be limited to those in the technology sector. In 2015, anyone with the right tools can draw powerful insights from data.

Amazing user path visualization technique & tool: "How Users Move Through Your Product"

A picture is worth a thousand words!

Original Table

Visualization #1: Treemap 

Visualization #2: Packedcircle 

Visualization #3: Sunburst

Sources:  

StatsMonkey Tomato Production 

Interesting examples of "Sports Analytics" by Robert Allison's SAS

"5. Implementation: think big, start small, move quickly"

"IT and business leaders must expand their efforts to move their organizations from using only traditional BI that addresses descriptive analysis (what happened) to advanced analytics, which complements by answering the "why," the "what will happen," and "how we can address it" (see Figure 1)."

Figure 1: Gartner's Framework for Advanced Analytics

Also Mr. Linden said: "One of the key elements of any such 'making sense out of data' program is the people, who must have the right skills and capabilities."

Digital Transformation & Organisational Structure @Hubspot