4 key steps to building a comprehensive data strategy by Phil Bullinger via @infomgmt

Organisations that develop and implement a strategic plan are fundamentally better prepared to anticipate, manage and capitalise on the increasing challenges and possibilities of data.

I like this because it gives you a list of things that you need to consider when making a data strategy. I'm sure we can all think of something that is not on the list but it very applicable for our business.

WEBINAR: How data archiving supports GDPR readiness - 26 October 2017

Web Seminar  How data archiving supports GDPR readiness

Oct. 26, 2017 | 2 PM ET/11 AM PT
Hosted by Information Management

The EU’s General Data Protection Regulation (GDPR) will take effect in May 2018. Whether your organization is located inside or outside Europe, it will be impacted if it holds data on even a single European resident. One element of GDPR preparedness should include your data archiving strategy, or how you handle personal data on either production or legacy systems that is no longer changing. Just because static information might not be actively used, it still is subject to GDPR.

This webinar will address how GDPR impacts organizations in North America and will specifically explore the large volume of static data that is residing on both production systems and outdated, redundant, or otherwise obsolete applications that are common in many organizations. Participants will hear from GDPR experts from OpenText and data archiving specialists with Flatirons Jouve.

You will learn:

• How the GDPR impacts U.S.-based companies
• Foundations of an enterprise information management strategy essential for GDPR
• How data archiving supports GDPR readiness
• Specific capabilities of archiving platforms that address privacy by design, consent, data portability, the right to erasure, and other GDPR requirements

This webinar is essential for anyone responsible for compliance, data strategy or management, enterprise information management, information governance or architecture, or application strategy or management.

Bryant Bell Director Product Marketing OpenText (Speaker)	Gino Vicari Principal Value Consultant OpenText (Speaker)	Bill Young, Ph.D. Consultant Flatirons Jouve (Speaker)	Jim Ericson  Consultant, Editor Emeritus Information Management (Moderator)

Sponsor Content From:

Register here

SLIDESHOW: 7 Key Considerations When Choosing a Data Pipeline Service via @infomgmt

Picking a service that manages your data isn’t something to be taken lightly. You’ll want to research a few different services before choosing what is right for your company. Here is advice on how to look at different services to make sure you really understand the value each brings to the table.

I find slide 9 quite important even though the sideshow says it is a bonus.  In the past data has been put into a data warehouse or whatever is driving your reporting and just sits there forever.  All data has a shelf life and needs to be moved, updated or archived off in a timely manner else you run the risk of your reports and analyses being incorrect.

Three Ways Enterprises Can Eliminate Useless Data via @Data_Informed

Three Ways Enterprises Can Eliminate Useless Data by Chris Talbott via @Data_Informed - A new study reveals that most of the data that companies hold have not been touched for years, adding to the costs and complexity of data management without delivering business value. Chris Talbott of Veritas offers tips for more efficient information management practices.

I would add that I see 2 problems -

1. Collecting all data because it is there and you "might" need it in the future.
2. Lack of a data archiving policy - look at all the legal limitations for document retention and build a policy to archive data.  When you have the policy actually IMPLEMENT it.

How to manage your data before it manages you via @7wdata

How to manage your data before it manages you via @7wdata - Evolving technologies, more stringent compliance policies, and the need for big data analytics and long-term data retention, are all important factors that these professionals must consider when attempting to manage their data.

I think a good aim to have is that you must manage your data before it manages you. The less control you have (be that data quality, data management, data storage, data archiving, etc)  The less reliable your results are from using that data, and the higher the cost will be for the data overall.

Data Governance

In this White Paper on the Information Management website sponsored by Rand Secure Data it explains in clear language what Data Governance is.

Having had to ensure that data is available for SOX reporting in the past it's an area that organisations must do properly.  My blog post on Data Archiving makes the point that a backup is NOT the same as an archiving and that is particularly important for Data Governance.

A checklist for Data Archiving

TDWI have published a handy checklist for Data Archiving for Big Data, Compliance and Analytics here.

It makes important points about planning for archiving as part of your documentation and classification of the data.  It also reinforces that a backup is NOT an archive.