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Big Data Top 200 Influencers 2013

by | Jul 31, 2013 | Influencer Lists,

Big Data is a hot topic, if you are a vendor in the Big Data market place you are probably either already running influencer programs or strongly considering it.

The Big Data market place is quite complex with many vendors and a huge number of complex issues to digest and take into account. It’s a classic example where influencers, including analysts, journalists, bloggers, commentators and technical evangelists are influencing the awareness and viewpoints of prospective clients.

However, if you want to run an influencer program on Big Data, how do you go about it?

First you need to identify who are influential in the debate on Big Data.

You probably already have an idea about who some of the influencers are and you may already be engaging with them – probably much in the same way as you did a decade ago. It’s likely you are only dealing with a small number of influencers, maybe only the top industry analysts.

However something has changed. Today there are many more influencers participating in the discussions. Being part of the discussion is a great way to grow your personal and/or company’s brand, and because it is now so easy to join the discussion on blogs, on the WWW and on Twitter the number of participants has swelled to 100s of thousands.

I fired up Onalytica IRM (Influencer Relationship Management) and took a look at who are influential in the Twitter conversations on Big Data. The top 200 (out of 125k+) are at the end of this post.

However, it’s clear that there are so many influencers that building relationships with all of them doesn’t seem very scalable.

For most tech influencer programs we recommend targeting tiers in the influencer pyramid in different ways:

Tier 1: Global/National InfluencersUsually household names in the industry, these influencers make a living from being influencers. They include journalists, industry analysts, “famous” commentators and similar. If you want to build relationships with anyone in this group, it is best handled by people with substantial PR training/experience.
Tier 2: Topic Thought LeadersPrime influencer engagement material. These thought leaders usually have a tech background, are often subject matter experts, but are often less hands-on today than they used to be. You want to build personal relationships with anyone in this group.
Tier 3: Community InfluencersActively hands-on, these influencers are all influential in their local community and several are on a trajectory to move into Tier 2. This group also represent excellent influencer engagement material. You don’t necessarily want to build personal relationships with everyone in this group, but you do want to engage with anyone you can be helpful to or who is likely to find your influencing material such as case studies and white papers interesting enough to share with their community/followers.
Tier 4: The RestThe members of this group may participate in the discussion but they usually have neither the appetite nor the expertise to move into Tier 3.

Once you have identified all the influencers in your industry you can upload them to Onalytica IRM together with all your influencing material such as white papers, case studies, presentations, blog posts, etc.

Onalytica IRM will then start generating great influencing opportunities – opportunities where an influencer is very likely to find one or more pieces of your influencing material highly relevant and timely.

It does so by using our patent-pending content recommendation engine which, based on what influencers are saying online makes an immediate assessment of what material, if any, you have that is likely to be of high relevance and interest for the influencer – right at this moment.

You can now reach out to the influencer using Twitter, email, phone or any other appropriate way with the increased conviction that follows from knowing that you are being highly relevant to them. In fact – in most cases they are likely to thank you for bringing the relevant material to their attention and in many cases they will share their “find” with others.

The net effect of this solution is that your evangelists spend time on being relevant and building relationships with influencers – rather than spending time looking for opportunities to engage; and just as a sales team that works off a steady stream of hot leads performs better than one that has to find their own leads, your evangelists will help win significantly more hearts, minds and market share.

Of course Onalytica IRM comes with all relevant CRM functionally for effectively recording, reporting, analysing and managing the whole influencing process built in.

Top 200 Big Data influencers on Twitter (out of 125k+ participating in the #bigdata discussion in the last few months):

RankTwitter HandleName
1@KirkDBorneKirk Borne
2@JDavidMorrisJ. David Morris
3@mjcavarettaMichael Cavaretta
4@rwang0R Ray Wang
5@custom_publishKaren Schopp
6@BigDataSpeakerSushil Pramanick
7@kdnuggetsGregory Piatetsky
9@hyounparkHyoun Park
10@kncukierKenneth Cukier
11@jg21Jeremy Geelan
12@BigDataBoratBig Data Borat
13@GilPressGil Press
14@SocialNewsCorpMike Martino
15@BigDataGalLillian Pierson
16@philsimonPhil Simon
17@dhinchcliffeDion Hinchcliffe
18@Doug_LaneyDoug Laney
19@praxsoziAlfred Fuhr
20@BernardMarrBernard Marr
21@RICHIRichi Jennings
22@vipsguptaVipul Gupta
23@HKotadiaHarish Kotadia
24@tunvallFredrik Tunvall
25@bobehayesBob E. Hayes
26@MandiBProMandi Bishop
27@keesdenhartighKees denHartigh
29@Natasha_D_GNatasha Bishop
30@CraigMilroyCraig Milroy
31@mervMerv Adrian
32@jburnmurdochJohn Burn-Murdoch
33@eric_kavanaghEric Kavanagh
34@mgualtieriMike Gualtieri
35@revodavidDavid Smith
36@YvesMulkersYves Mulkers
37@BuyukVeriBuyuk Veri
38@DanielBurrusDaniel Burrus
40@DrMattRoachMatt Roach
41@graemeknowsJ. Graeme Noseworthy
42@marie_wallaceMarie Wallace
43@juliebhuntJulie Hunt
44@kidehenKingsley Uyi Idehen
45@marcusborbaMarcus Borba
46@EdwardTufteEdward Tufte
47@TheSocialPittDavid Pittman
48@strataconfO’Reilly Strata
49@Frank_KonkelFrank Konkel
51@data_nerdCarla Gentry
52@katecrawfordKate Crawford
53@Viktor_MSV Mayer-Schönberger
54@jeffreyfkellyJeff Kelly
55@DeepInTheCodeDavid Young
56@atulbutteAtul Butte
57@AliRebaieAli Rebaie
58@lfeuersteinLukas Feuerstein
59@Joseph_Marks_Joseph Marks
60@PatrickMeierPatrick Meier
61@jilldycheJill Dyche
62@BigData_paulzPaul Zikopoulos
63@MDMGeekPrash Chan
65@Brian_EastwoodBrian Eastwood
66@DavidAmerlandDavid Amerland
67@FangFeng88Fang Feng
68@CosimoAccotoCosimo Accoto
69@dschubmehlDave Schubmehl
70@mhausenblasMichael Hausenblas
72@ajayc47Ajay Chandramouly
73@jenstirrupJen Stirrup
74@Dana_GardnerDana Gardner
75@MeghanMBiroMeghan M. Biro
76@dr_mortonMorten Middelfart
77@spoonenSanjay Poonen
78@Timothy_HughesTimothy Hughes
79@elchiconaranjaLuis Rodríguez Vives
80@evanquinnEvan Quinn
81@DanaFLoveDana Love
82@timoelliottTimo Elliott
83@RobertsPaigePaige Roberts
84@antgoldbloomAnthony Goldbloom
85@jamet123James Taylor
86@jaimefitzgeraldJaime Fitzgerald
87@t1c1Thomas Ciszek
88@webtechmanDaniel Hudson
89@oscarwijsmanOscar Wijsman
90@captain_dashCaptain Dash
92@Sve_SicSvetlana Sicular
93@servantofchaosGavin Heaton
95@usamafUsama Fayyad
96@eceredaEnrico Cereda
97@moorejhJason H. Moore
98@TonyBaerTony Baer
99@plevyPierre Levy
100@JAdPJosep di Paolantonio
101@SoftwareHollisHollis Tibbetts
102@GJ7300GJ Reinders
103@tamaradullTamara Dull
104@nyikeIsaac Sacolick
105@digiphileAlex Howard
106@ScottOstbyScott Ostby
107@hstephStéphane Heckel
108@joshuagrossmanJoshua Grossman
109@prasannalaldasPrasanna Lal Das
110@bobgourleyBob Gourley
111@jsaulroigJosep Sauleda
112@SusanFourtaneSusan Fourtané
113@TheGrokBryan Eisenberg
115@jbertolucciJeff Bertolucci
117@carboneCedric Carbone
118@RichDuszakRich Duszak
119@HaleChrisChris Hale
120@furrierJohn Furrier
121@bobevansITBob Evans
122@mich8elwuMichael Wu
123@MathewFallonMathew Fallon
124@ryanpraskiRyan Praskievicz
125@dpatildj patil
126@brunoazizaBruno Aziza
127@OttmarAmannOttmar Amann
128@nopiedraNelson Piedra
130@Saif_AbedSaif Abed
131@luisdansLuis Daniel Soto
132@infoarbitrageRoger Ehrenberg
133@mjasayMatt Asay
134@NeelieKroesEUNeelie Kroes
135@DigitaltontoGreg Satell
136@downtotheblockStephen Jones
137@OmoNsasiDamara Arrowood
138@marilorMarie-Laure VIE
139@billfranksgaBill Franks
140@jotero81Julio Otero Santamar
141@MalteLandwehrMalte Landwehr
142@HealthcareWenWen Dombrowski
143@sanchezjbJoe Sanchez
144@ydemontcheuilYves de Montcheuil
145@RadhikaAtEmcienRadhika Subramanian
146@TheEbizWizardJason Bloomberg
147@klintronKlint Finley
148@BeverlyMacyBeverly Macy
149@eddEdd Dumbill
150@LoraineLawsonLoraine Lawson
151@SethGrimesSeth Grimes
152@sidprobsteinSid Probstein
153@GaryMarcusGary Marcus
154@tinagrovesTina Groves
155@hlsdkHenrik L. Sørensen
156@AAjraouAbed Ajraou
157@ukgavGav Broughton
158@toccaceliblasiToccaceli Blasi
159@jeanetwalravenJeanet Walraven
160@GregoryJGrebenGregory J. Greben
161@MarketBuildrSteve Offsey
162@acrollAlistair Croll
163@lkafleLava Kafle
164@craigmullinsCraig Mullins
165@Ellen_FriedmanEllen Friedman
166@FastBigDataMark Wall
167@FrankFormisanoFrancesco Formisano
169@witolddcWitold Chrabaszcz
170@dainsworldDain Hansen
171@TechTalkEditorMaya Saggu
172@HealthcareMBAJustin Hipps
173@jakeporwayJake Porway
174@MOC_AprogedM-Odile Charaudeau
175@lilithlelaLilith Lela
176@SocialMktgFellaAndre F Bourque
178@storagesportDave O’Donoghue
179@Charly_BGCarlos Barranco
180@marcteerlinkMarc Teerlink
181@annamaseraAnna Masera
182@DatagrrlApril Reeve
183@BilaferKurt J. Bilafer
184@marcosluis2186Marcos Ortiz
185@rajatrocksRajat Paharia
186@ColinstrongColin Strong
187@carmeartigasCarme Artigas
188@ManeeshJunejaManeesh Juneja
189@ocdqblogJim Harris
190@PaulNemitzPaul Nemitz
191@wareFLOCharles Webster
192@deKokPieterPieter de Kok
193@andrewbrustAndrew Brust
194@fredhermelinFrédéric Hermelin
196@mchuiMichael Chui
197@RafaelPaduraRafael Padura
198@practicingEABrian Hopkins
199@johnchavensJohn C. Havens
200@preinmanPaula Reinman