Timing Your Social Media Activity

When engaging in social media I often consider what time and what day to publish a new blog post, tweeting about it and promoting it on LinkedIn.

My audience is roughly distributed as 40 % Americas (almost all in North America), 40 % EMEA (almost all in Europe) and 20 % Asia and Pacifics.

That makes it a pretty much around the clock audience with a peak in page views and comments between UTC 14:00 and 17:00, which is when the working day in Europe is still on and the Americans are waking up.  However that doesn’t necessary mean that I should publish in the peak hours. In fact I haven’t been able to measure that the time of publishing affects number of page views and comments. So I’ll keep on publishing at the time I have anything to say and have the time to write about it.

If I look at weekdays working days are double as busy as weekends with Monday as best day probably catching up with people that don’t do social media in weekends. So I’ll keep on publishing at the days I have anything to say and feel inspired to write about it.

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#MDM is dead, long live #XXX

When tweeting about Master Data Management (MDM) it has been custom to use the #MDM hashtag.

However you sometimes have seen other subjects tagged with #MDM, often in other languages than English as for example “Matin de Merde”.

But now #MDM has been completely taken over by the Tourism Queensland (Australia) Million Dollar Memo campaign.

So, Master Data Management tweeps: Do we have to find a new hashtag?.

Is #MasterDataManagement too long?

Other suggestions?

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No Privacy Customer Onboarding

This post is a follow up on today’s #DataKnightsJam happening on twitter. Today’s subject was data quality and data privacy.

Diversity in data quality is a subject discussed a lot of times on this blog.

So I want to share a real life example of a good upstream get it right first time data sharing approach that might compromise privacy thresholds in other places.

The image to the right is the data entry form from a Swedish webshop used for customer self-registration. The main flow is that:

  • You type your national ID (personnummer in Swedish)
  • You press the following button
  • The system fetches your name and address data from the public citizen hub
  • The webshop gets an accurate, complete single customer view  

The webshop www.jula.se sells tools for home improvement.

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Follow Friday Diversity

Every Friday on Twitter people are recommending other tweeps to follow using the #FollowFriday (or simply #FF) hashtag.

So do I.

Below please find my follow Friday recommendations grouped by global region:

 

Canada: @carrni @datamartist @sheezaredhead @andrewsinfotech @aniagl @DQamateur @bivcons @projmgr @DQStudent @datachickUnited States: @GarnieBolling @stevesarsfield @UtopiaInc @bbreidenbach @fionamacd @RobertsPaige @BIMarcom @IDResolution @FirstSanFranMDM @dan_power @merv @NISSSAMSI @jilldyche @howarddresner @GartnerTedF @RobPaller @marc_hurst @dcervo @datamentors @VishAgashe @IBMInitiate @RamonChen @JackieMRoberts @philsimon @Nick_Giuliano @DataInfoCom @juliebhunt  @Futureratti  @dqchronicle  @jonrcrowell @elc  @Experian_QAS @paulboal @im4infomgt @WinstonChen @ocdqblog @KeithMesser @murnane @BrendaSomich @alanmstein @JGoldfed @jaimefitzgerald @tedlouie @bslarkin

Venezuela: @pigbar

Ireland: @daraghobrien @KenOConnorData @MapMyBusiness: United KIngdom: @SteveTuck @VeeMediaFactory @mktginsightguy @Daryl70 @Teresacottam @AnishRaivadera @ExperianQAS_UK @DataQualityPro @SarahBurnett @faropress @jschwa1 @mikeferguson1 @jtonline @Master_OBASHI @Nicola_Askham; France: @DataChannel @mydatanews @jmichel_franco @ydemontcheuil;Switzerland: @alexej_freund @openmethodology; Austria: @omathurin; Germany: @stiebke @dwhp @dakoller @marketingBOERSE; Belgium: @guypardon; Netherlands: @harri00413 @GrahamRhind; Denmark: @jeric40 @eobjects @StiboSystems;Norway @Orvei; Sweeden: @MrPerOlsson @DarioBezzina; Finland: @JoukoSalonen; Lithuania: @googlea; Italy: @Stray__Cat

Algeria: @aboussaidi; South Africa: @MarkGStacey

Pakistan: @monisiqbal; India: @MDMAnswers @twitrvenky @ashwinmaslekar; Indonesia: @VaiaTweets

Australia: @emx5 @vmcburney;New Zeeland: @JohnIMM @Intelligentform

It’s my hope, that I in the future will be able to interact even more diverse.

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Follow Friday Data Quality

Every Friday on Twitter people are recommending other tweeps to follow using the #FollowFriday (or simply #FF) hash tag.

My username on twitter is @hlsdk.

Sometimes I notice tweeps I follow are recommending the username @hldsk or @hsldk or other usernames with my five letters swapped.

It could be they meant me? – but misspelled the username. Or they meant someone else with a username close to mine?

As the other usernames wasn’t taken I have taken the liberty to create some duplicate (shame on me) profiles and have a bit of (nerdish) fun with it:

@hsldk

For this profile I have chosen the image being the Swedish Chef from the Muppet show. To make the Swedish connection real the location on the profile is set as “Oresund Region”, which is the binational metropolitan area around the Danish capital Copenhagen and the 3rd largest Swedish city Malmoe as explained in the post The Perfect Wrong Answer.

@hldsk

For this profile I have chosen the image being a gorilla originally used in the post Gorilla Data Quality.

This Friday @hldsk was recommended thrice.

But I think only by two real life individuals: Joanne Wright from Vee Media and Phil Simon who also tweets as his new (one-man-band I guess) publishing company.

What’s the point?

Well, one of my main activities in business is hunting duplicates in party master databases.

What I sometimes find is that duplicates (several rows representing the same real world entity) have been entered for a good reason in order to fulfill the immediate purpose of use.

The thing with Phil and his one-man-band company is explained further in the post So, What About SOHO Homes.

By the way, Phil is going to publish a book called The New Small. It’s about: How a New Breed of Small Businesses is Harnessing the Power of Emerging Technologies.

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Social Master Data Management

The term ”Social CRM” has been around for a while. Like traditional CRM (Customer Relationship Management) is heavily dependent on proper MDM (Master Data Management) we will also see that enterprise wide social CRM will be dependent on a proper social MDM element in order to be a success.

The challenge in social MDM will be that we are not going to replace some data sources for MDM, but we are actually going to add some more sources and handle the integration of these sources with the sources for traditional CRM and MDM and other new sources coming from the cloud.

Customer Master Data sources will expand to embrace:

  • Traditional data entry from field work like a sales representative entering prospect and customer master data as part of Sales Force Automation.
  • Data feed and data integration with external reference data like using a business directory. Such integration will increasingly take place in the cloud and the trend of governments releasing public sector data will add tremendously to this activity.
  • Self registration by prospects and customers via webforms.
  • Social media master data captured during social CRM and probably harvested in more and more structured ways.

Social media master data are found as profiles in services as Facebook mainly for business-to–consumer activities, LinkedIn mainly for business-to-business activities and Twitter somewhere in between. These are only some prominent examples of such services. Where LinkedIn may be dominant for professional use in English speaking countries and countries where English is widely spoken as Scandinavia and the Netherlands other regions are far less penetrated by LinkedIn. For example for German speaking countries the similar network service called Xing is much more crowded. So, when embracing global business you will have to acknowledge the diversity found in social network services.

A good way to integrate all these sources in business processes is using mashup’s. An example will be a mashup for entering customer data. If you are entering a business entity you may want to know:

  • What is already known in internal databases about that entity – either via a centralized MDM hub or throughout disparate databases?
  • Is the visit address correct according to public sector data?
  • How is the business account related to other business entities learned from a business directory?
  • Do we recognize the business contact in social networks – maybe we did have contact before in another relation?

If you are entering a consumer entity you may want to know:

  • Does that person already exist in our internal databases – as an individual and as a household?
  • What do we know about the residence address from public sector data?
  • Can we obtain additional data from phone book directories, nixie lists and what else being available, affordable and legal in the country in question?
  • How do we connect in social media?

Of course privacy is a big issue. Norms vary between countries, so do the legal rules. Norms vary between individuals and by the individuals as a private person and a business contact. Norms vary between industries and from company to company.

If aligning people, processes and technology didn’t matter before, it will when dealing with social master data management.

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No Re-Tweets?

12 hours ago from now I noticed the following tweet on Twitter from the profile @GartnerTedF:

The person behind @GartnerTedF is the analyst Ted Friedman of Gartner, Inc. He is a very important person in the data quality realm as he co-writes the Magic Quadrant.

Many of Ted’s tweets are usually re-tweeted by other tweeps.

But not this one.

I think I know why: It’s because technology simply doesn’t work.

I have noticed this often. What happens is that twitter somehow simply doesn’t index some tweets from time to time, so people don’t see them.

Follow Friday Master Data Hub

Social Networking needs Master Data Management.

brownbird_leftA recurring event every Friday on Twitter is the #FollowFriday with the acronym #FF, where people on Twitter tweets about who to follow.

I do it too and as every one else sometimes I perhaps forget someone, and then (s)he gets angry and don’t #FF me and that’s bad. Bad Data Management. Bad #mdm.

So now I have started building a Master Data Hub fit for the purpose of doing consistent #FF. I do see other purposes for this as well as I recognize the advantages of combining data sources, so I did a #datamatching with LinkedIn connections to improve #dataquality through Identity Resolution.

This is as far I am now (very convenient that WordPress lets me edit my blog posts):

@ReferenceData where http://www.linkedin.com/pub/carla-mangado/11/467/239 is Staff Writer

@KenOConnorData is http://www.linkedin.com/in/kenoconnor00

@ocdqblog is a blog where http://www.linkedin.com/in/jimharris is blogger-in-chief

@dataqualitypro is a community founded by http://www.linkedin.com/in/dylanjones

Dylan was a @Datanomic partner where @SteveTuck is http://www.linkedin.com/in/stevetuck

@InitiateSystems has a CTO = @wmmarty who is http://www.linkedin.com/pub/marty-moseley/0/57/43b

@VishAgashe is http://www.linkedin.com/in/vishagashe

@KeithMesser is http://www.linkedin.com/in/keithmesser running @GlobalMktgPros

@fionamacd is at @TrilliumSW as seen here http://www.linkedin.com/in/fionamacd

So is @stevesarsfield being http://www.linkedin.com/pub/steve-sarsfield/2/675/47a

Trillium is owned by Harte-Hanks where @MarkGoloboy also was http://www.linkedin.com/in/markgoloboy

@biknowledgebase is operated by http://www.linkedin.com/in/barryharmsen

@Dataexperts has a managing director who is http://www.linkedin.com/pub/gary-holland/1/101/135

@IDResolution (Infoglide) has several Data Matching members in http://www.linkedin.com/groups?gid=2107798 including http://www.linkedin.com/in/dougwood

@rdrijsen is http://www.linkedin.com/in/rdrijsen with possible duplicate http://www.linkedin.com/pub/resa-drijsen/1/389/58

@grahamrhind is http://www.linkedin.com/in/grahamrhind

@omathurin is http://www.linkedin.com/in/oliviermathurin

@zzubbuzz is probably http://www.linkedin.com/pub/charles-proctor/14/591/31

@CharlesBurleigh is http://www.linkedin.com/in/charlesburleigh

@wesharp is http://www.linkedin.com/in/williamesharp doing @dqchronicle

@decisionstats has an editor being http://www.linkedin.com/in/ajayohri

@jeric40 is my colleague at Omikron as shown here http://www.linkedin.com/in/janerikingvaldsen