Wednesday, July 2, 2014

SBL offers new ‘data repair’ service.



At this year’s User Conference in July, ESRI staff will again be on hand to provide their popular data check up sessions:

http://blogs.esri.com/esri/arcgis/2014/06/25/ready-to-get-your-data-check-up-at-esri-uc-2014/

However, in the unhappy even that errors are found, what do you do next? Do you have sufficient in-house resource to make the required corrections in a timely manner? Or will you have to pull key members of staff off projects, thereby putting deadlines in jeopardy? We can help.

At SBL we have large teams of multi-disciplinary engineers who are used to seeing and then resolving a wide range of data issues. We are able to turn around these repair exercises quickly and cost-effectively, thereby minimising the unplanned impact on your business.

For further information contact SBL’s UK Divisional Manager, Geoff Blissitt on 0117 317 8100, or by email at geoff.blissitt@sblcorp.com

SBL’s UK Division to attend the AGI’S Big Data event in London:






Part of the AGI’s Big 5 series of events, Big Data will address the opportunities for Geospatial Data within the broader context of Enterprise Data Management. This is right up our street:

At SBL we have already seen significant overlap between our divisions, in particular between our data management and GIS teams. Clients are increasingly looking for an integrated approach to data management, whereby the geospatial data lies at the heart of business processes rather than as a task-based offshoot. The geo-referencing of core datasets as part of the initial database architecture, rather than as a retrospective add-on exercise, is resulting in organisations viewing location-based information as central to strategic decision-making.

If you would like to arrange a meeting at the event to discuss these opportunities, or if you would simply like to receive further information, please contact Geoff Blissitt on 0117 317 8100 or via email at geoff.blissitt@sblcorp.com.

http://www.geobig5.com/events/big-data/