10 best practices for the marketer’s Big Data Archipelago journey

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“Don’t cry because it’s over. Smile because it happened.” -Dr. Seuss

The BigData Archipelago has 10 islands to discover.

About three months ago, I invited marketers to join me on a journey through the Big Data Archipelago, a collection of 10 islands, each focused on a key big data topic (see island names above). A visit to each of the islands involved examining the ways big data has impacted best practices with traditional data, and considering examples to illustrate the theme of each island. Before leaving the island, our visit ended with a short list of key takeaways for marketers.

Now that our journey through the Big Data Archipelago is over, you are better prepared to tackle the big data adventure that awaits you in your organization. Go forth and discover the unknown unknowns in your company’s big data—and if at any time you need a refresher, the Wizard is always here to guide you (Hint: you can bookmark the whole series with one link)

As a parting farewell, I’ve included a summary of the best practices below. As an added bonus, you can download the 2-page best practices handout to hang on your wall—courtesy of the Wizard.

Thank you for traveling along with us!

10 Best Practices: Traditional Meets Big Data

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Island name With our traditional systems, the best practice has been to… With big data and its technologies, the best practice is becoming…

1

Analytics Gain insight by answering the known unknowns. Make an impact by discovering the unknown unknowns.

2

Processing Try to optimize the data warehouse around mixed workloads. Take advantage of the processing power of big data technologies.

3

Integration Build it and they will come. Build it on demand using the best tools for the job.

4

Open Source Adoption Compare open source solutions by functionality and price. Take open source seriously for big data platforms.

5

Location Centralize data and platforms. Allow data to reside where it will provide the greatest value.

6

Data Governance Develop an enterprise-scale data governance program. Tackle data governance one big data project at a time.

7

Data Security Hold IT responsible for data protection. Foster a culture where data is treated as a corporate asset.

8

People Evolve toward a competency center. Focus on individual roles and skills.

9

Investment Calculate ROI focusing on software acquisition, licensing, and maintenance. Calculate ROI focusing on new development processes, organizations, and skills.

10

Strategy Use data to help achieve corporate strategic goals. Use data to help achieve community and global goals.
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About Author

Tamara Dull

Director of Emerging Technologies

I’m the Director of Emerging Technologies on the SAS Best Practices team, a thought leadership organization at SAS. While hot topics like smart homes and self-driving cars keep me giddy, my current focus is on the Internet of Things, blockchain, big data and privacy – the hype, the reality and the journey. I jumped on the technology fast track 30 years ago, starting with Digital Equipment Corporation. Yes, this was before the internet was born and the sci-fi of yesterday became the reality of today.

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