Structured Data in Discovery

Transcription

1 Structured Data in Discovery

2 SPEAKER Jim Vint Managing Director Navigant +1 (312)

3 AGENDA 5 STRUCTURED SNIPPETS Intro and Background Focus Area 1 Identification Focus Area 2 Preserve / Collect Where is St. Data / Awareness Next phase of St. Data in Discovery Q&A

4 Or.. AGENDA 5 STRUCTURED SNIPPETS Intro and Background Focus Area 1 Identification Focus Area 2 Preserve / Collect Where is St. Data / Awareness Next phase of St. Data in Discovery Q&A

5 Snippet 1 WHO IS THIS GUY AND WHAT IS HE SPEAKING ABOUT?

6 About Me 20 years of experience with structured data Founding member of structured data group at FTI in 2004 Founder of structured data group at Navigant in 2011 Global lead of Technology Solutions Practice at Navigant Authored numerous structured data focused white papers, articles and thought leadership pieces in the last 10 years Retained as 30(b)(6) witness for structured data needs Competitive endurance athlete who trains with the help of.

7 What is Structured Data? Well, it s a lot like teenage sex.. Everyone talks about it Very few people really know how to do it Everyone thinks everyone else is doing it So, everyone claims they are doing it!

8 What was Structured Data.Then? Data that exists as segments of information inside of a larger system; one that is often quite complex and contains many parts. Relational databases are examples of structured data.

9 Market Reaction to St. Data Since

10 What is Structured Data.Now? For the most part, structured data refers to information with a high degree of organization, such that inclusion in a relational database is seamless and readily searchable by simple, straightforward search engine algorithms or other search operations (source: brightplanet.com)

11 Snippet 2 AREA OF FOCUS 1 IDENTIFICATION

12 Data Identification How do you identify relevant or potentially relevant systems? Including band-aids, extracts, uploads, etc. What s the Cotton Eye Joe data flow? Where did it come from / where does it go? Is net new data created or stored here? Understand, collaborate, create data flow / lineage, etc.

13 How Do You Gain Focus & Clarity?

14 Identification Case Study The Cotton Eye Joe approach Understand, collaborate, create data flow / lineage, etc. Is net new data created or stored here? Where did it come from / where does it go? 3 rd Party Data Systems BUSINESS LINES SYSTEM OF RECORD TIME PERIOD & FORMAT IN SCOPE CASE STUDY Over 900 systems and 3,000 applications Organized by business line Found SMEs Determined characteristics and decision points Narrowed scope down to tiers, with 40 critical sources

15 Snippet 3 AREA OF FOCUS 2 PRESERVATION/COLLECTION

16 Who has read Moby Dick? This Snippet is like the middle of the novel Full of intel but not gross Also no Cliff Notes

17 Preservation / Collection EU has the idea of proportionality. St. Data, from a cost and volume perspective, begs for something similar. What s appropriate? Interface Core Tables Full backup Source Code

18 Well, where are you pulling from? One or many?

19 Interface Defensibility of the data User Interface versus backend data fields Time to step through each screen and iteration of workflow Ability to link front end and back end by title, fields, etc. Time when it is appropriate Case Study

20 Natural Growth of IT Systems Over Time

21 Full Backup Restoration / license concerns other side too Full case knowledge Meet and confer Likely not prior to putting hold notices in place Spoliation / backups / audit trails Do you need to recreate a point in time? Time when it is appropriate

22 Specific Tables & Source Code Case Example Damages Case (On-Going) Received a few scripts, a csv file of original source data, and unrelated data dictionaries Multiple iterations of combing through code for calls and tables Able to rerun the process and then ID the errors in the calc Proceed to damages phase

23 Specific Tables & Source Code OR

24 What to Preserve & When? No silver bullet No one size that fits all for cost and for speed Imperative that Client, Counsel and Consultants drive the decision collaboratively. The Four C s of Structured Collection Not Carat, Cut, Color and Clarity

25 Snippet 4 IS STRUCTURED DATA CREATING THE MATRIX? AND THIS FEELS LIKE A TRAP.

26 Where is Structured Data? It s everywhere Personal experience Business application Badge swipes Smart phones (paid for) Log in s GPS data Hot spots Etc. All tracked in structured system And all of these are starting to talk.

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28 Things to be aware of dealing with St. Data Franken -code System schema, data flow diagrams, data dictionaries Bringing a gun to a knife fight or vice-versa Human assumption Flattening relational database tables Institutional knowledge Live data (day / month / quarter / annual) Documentation

29 Questions to Consider (Asking or Answering) What is the backend data structured (Oracle, SQL Server, Mainframe, custom)? What is the approximate size of the database? Is there a DBA and / or super user? How often is the data backed up and to what media (accessible?) What interactions systems or ETL change data periodically? Is there space to drop a copy for preservation? What interactions occur with other systems?

30 Snippet 5 WHAT S NEXT

31 Internet of Things ( IoT ) With a trillion sensors embedded in the environment all connected by computing systems, software, and services it will be possible to hear the heartbeat of the Earth, impacting human interaction with the globe as profoundly as the Internet has revolutionized communication. -Peter Hartwell Senior Researcher, HP Labs

32 Cloud Storage and Retrieval

33 Two Considerations Accessibility Extract capabilities? Access to underlying database? API for custom extraction? Data replication? Business resources for technical extractions? Availability Data dictionary? Reports available for reconciliation? Bulk extractions or item by item? Purge cycle / backup procedures? When was the solution implemented? Was data from the prior solution backfilled into the platform?

34 Data Lakes

35 TAKEAWAYS

36 Snippet Takeaways Cotton Eye Joe for data lineage in identification phase Preservation and collection is the Moby Dick of structured data in discovery Structured data is everywhere and getting more prominent We may soon have Lakes in Clouds with data from the IoT Athlete s train with.

37 Q&A AND THANK YOU Jim Vint Managing Director, Practice Lead Navigant Global Legal Technology +1 (312)