The document discusses how organizations can increase the value of their data through establishing an information architecture, empowering employees to make smarter use of data, and investing in data-driven decision making. It recommends focusing on teamwork between business and IT, breaking down data silos, choosing suitable analytical software, and improving processes. Related studies highlight the importance of data accessibility and quality for digital transformation and decreasing operating costs. The document invites connecting to discuss practical implementation.

1. 5Minutes of…

2. howto makeyour
datamorevaluableContact: drop a line and connect on LinkedIn

3. Teamwork!
Contact: drop a line and connect on LinkedIn

4. FocusonteamworkbetweenyourExpertsin
BusinessandIT
» increase horizontal and vertical collaboration
» share your big picture and ideas
» invite employee to get involved
» be committed and open minded
Contact: drop a line and connect on LinkedIn

5. Increase Value
ofyour Data!
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6. Supportyourdata-drivenjourneybyestablishingan
InformationArchitecture
» break down data silos and bottlenecks
» integrate your data - start smart ❤
» establish Data Governance (to improve Data
Quality, Security and Compliance)
» make use of open source!*
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7. Empower employees
to useyour data!
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8. Improveyourbusinessdecisionsbyenabling
employeetomakesmarteruseofdata
» choose analytical software, which fits to your
needs (and skills!)
» invest in (training for) your teams
» improve processes and re-invest gained time &
resources
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9. Return on investment?
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10. Ifweinvestindata-drivendecisionmaking,wewill
1.react faster & better to changes
2.ensure deeper understanding of customer needs
3.increase product/market fit of existing and new
products & services
4.(monetize our data!)
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11. Related studies, paperand
reports
» „A successful initiative requires a cultural and mindset shift by which data and
analytics moves (…) to fundamental for digital business transformation“ (Gartner,
Design a Data and Analytics Strategy)
» „If organizations are going to break down departmental barriers and make data a
corporate asset, data accessibility and quality are critical.“ (TDWI, Five Data
Management and Analytics Best Practices for Becoming Data-Driven)
» „The demand for data management solutions is immense, especially for data preparation.
The focus of Data Preparation is not on complex processes to prepare for Advanced
Analytics or Big Data, but rather on support for simple use cases“ (BARC, Data
Preparation in Business Departments)
» „Using data decreases yearly operating by 4.85%“ (splunk, What is your data really
worth?“
» …
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12. Howto putthis into practice?
let’s discuss it
kontakt@pschwan.de
LinkedIn
Contact: drop a line and connect on LinkedIn