Showing posts with label Technology. Show all posts
Showing posts with label Technology. Show all posts

Friday, September 25, 2009

Build vs. Buy to Land Marketing Analytics

I break analytical marketing into two families: performance optimization and performance improvement. Both families are equally popular these days. However, I'm still seeing significant frustration landing "analytical marketing", particularly in large companies. Smaller "born on the web companies" have no problem at all with this. Generally, the founders of these companies built the core strategy around analytics, hired people comfortable with these concepts, and have woven analytics into the core IT systems of the company as it has grown.

However, for larger "digital immigrant" companies, weaving analytics into marketing can be a daunting task. It's no accident that large global consultancies like IBM are investing heavily in analytics consultants. They've realized a simple truth: that no matter how many fancy new airplanes an airline has, they won't get off the ground without skilled pilots and mechanics. So, why not just book a ticket on United?

I can't take credit for the pilot / mechanic / airplane /airline analogy, but it's a good one so I'll use it shamelessly. To be clear:
  • Pilot = analytics marketing professional. A dork like me. There are different kinds of pilots. There are the ones that can only fly the plane, and then there are the ones that can also probably start their own airline.
  • Mechanic = data warehouse, SAS server, web analytics etc. software guru. These are the people that actually understand how the plane is put together and fix it when it breaks.
  • Airplane = the data warehouse, SAS, etc. software itself, or "cloud", doesn't matter. These are the $100,000 + CAPEX investments that make analytics possible.
  • Airline = IBM Global Services etc.--the firms that will just do this stuff for you. You just get on the airplane and it flies you where you want to go.

Looking at it from the company's perspective that just wants to get better at customer insight, targeting, ROMI, web ad optimization, etc., it's a very difficult strategic question: Where should I start? One could make an argument for starting at any of the four bullet points above, and I can think of case examples of companies who have gone down each path. But, I'll give you what I think the answer is now.

  • Don't even bother hiring mechanics if you are less than $500 M in revenue, unless you were born on the web. It's extremely expensive; the people that can truly build great systems are few and far between, and the pain will be enormous.
  • Everyone who wants to do analytics needs at least one good "senior pilot". All the other stuff might be outsourced, or you might fly United, but you need one person who really understands the stuff and can direct vendors, etc.
  • Whether to buy airplanes or not depends on business context. I'm a huge fan of the cloud and renting airplanes, and this is getting more and more feasible. Companies that provide managed ROMI environment that still house your data like MSights are a powerful option. However, for large companies, buying other components selectively can make sense. And it certainly makes sense if you were born on the web.
  • Full-service airlines can also make a lot of sense. Totally outsourcing all analytics to IBM might be the way to go if your culture is simply not built around digital and it's not a core focus. Over time, the company may get enough digital natives on board to make analytics a core competency.

Wednesday, November 22, 2006

B2B Marketing Survey

The last lead management technology post has generated a lot of interest, so I'm going to do the first in a series of surveys... well, hopefully a series... we'll see what kind of interest I'm able to generate. The survey topic will be Lead Management Practices and I've tried to create something that is short (about 3-4 minutes) but will collect some pithy info. I'll keep updating the responses to the survey in this post as they come in... To give you a preview before you click the link, the questions deal with:
  • Current use of B2B marketing technology;
  • Current priorities around lead pipeline management;
  • Future priority areas / investment areas
  • Open ended text for entering in (as always) anything I've missed.

Click here to take the survey.

Please take the time to fill in the survey--it'll be great to see responses come in and then hopefully an insightful dialogue will develop.

Monday, November 20, 2006

Attempt at Categorizing Technology for Managing the B2B Pipeline



NOTE: I’ll keep this post “live” and updated as I get comments and as things change in this space. Latest update: 11-29-06. Updates since original post in red.

I’ve been trying to categorize all the technology that’s available out for B2B marketers into neat buckets. I’m sure Forrester and Gartner have done much better jobs at this than I have, but their reports cost money. For those of you who want a quick-and-dirty categorization of technology with links to company web sites, this post is for you. Please comment to point out companies I’ve missed.

There are a lot of “merging” technologies in this list. What this means is that some technologies started in one place and have spread into others. I’ve tried to note these, but have left the technologies in their “original”—and thus ostensibly focus—space.

Extraction, Transformation, Loading (ETL):

Informatica: PowerCenter http://www.informatica.com/products/powercenter/default.htm

Native Database ETL: SQL Server 2005, Oracle 10g, IBM DB2 all have native ETL technology that is clearly getting better and could be making Informatica obsolete—we’ll see. Informatica is still the Cadillac.

IBM: Information Integration http://www-306.ibm.com/software/data/integration/
Thanks to Vincent for his post alerting me of this miss. Check out his post for a comparison of Informatica and IBM Information Integration.

Data Quality:

Informatica: Data Quality
http://www.informatica.com/products/data_quality/default.htm

Trillium: Owned now by Harte-Hanks
http://www.trilliumsoftware.com/

Dataflux: Owned by SAS... wait everyone is getting owned in this space...
http://www.dataflux.com/

Data Warehouse (pre-built and otherwise):

Upper Quadrant: UQube
http://www.upperquadrant.com/

Oracle Data Warehouse Builder: http://www.oracle.com/solutions/business_intelligence/warehouse-builder.html

All other relational databases can function as data warehouses. There are very few “pre-built” marketing data warehouses out there. Anyone who knows of any others please comment.

Data Mining:

SAS: Enterprise Miner
http://www.sas.com/technologies/analytics/datamining/miner/

SPSS: Clementine
http://www.spss.com/clementine/

Oracle: Oracle Data Miner
http://www.oracle.com/technology/products/bi/odm/odminer.html


Campaign Management / Marketing Automation / MRM:

Aprimo: Aprimo Enterprise Marketing Management
http://www.aprimo.com/approach/emm.asp

Unica: Unica Affinium Suite / Enterprise Marketing Management
http://www.unica.com/

SAS: SAS Marketing Automation—more focused on analytics than process, but improving
http://www.sas.com/solutions/crm/mktauto/

Siebel: Siebel Enterprise Marketing—suite contains multiple marketing applications but focused on / started with MRM
http://www.oracle.com/applications/crm/siebel/enterprise-marketing/index.html


Lead Management:

Eloqua: Eloqua Conversion Suite—They have a “complete” suite but are strongest in lead management.
http://www.eloqua.com/ps/products_ecs.asp

Marketo: Heard from Jon Miller about his new on-demand marketing automation solution. He also mentions in his post that he thinks Lead Creation and Lead Management shouldn't be separated. I agree that a lot of software does both, but in my experience a lot of companies thinking of them separately, so I'm keeping them discrete. The site currently site says "In Quiet Mode"... hopefully more coming soon.
http://www.marketo.com/index.html


Sales Force Automation:

Siebel: Siebel Sales
http://www.oracle.com/applications/crm/siebel/sales/index.html

Salesforce.com:
http://www.salesforce.com

Microsoft: Dynamics CRM
http://www.microsoft.com/dynamics/crm/default.mspx

SAP: MySAP CRM
http://www.sap.com/solutions/business-suite/crm/index.epx


Web Analytics:

24/7 Real Media
http://www.247realmedia.com/

Elytics, Inc: Elytics Analysis Suite
http://www.elytics.com/products_overview.htm

Google: Google Analytics—free and very good…you have to think they’re going to be continuously improving and eventually offering an “Enterprise” edition
http://www.google.com/analytics/

IBM: IBM SurfAid Analytics Services
http://surfaid.dfw.ibm.com

Omniture: Omniture SiteCatalyst
http://www.omniture.com/products/web_analytics/sitecatalyst

SPSS: SPSS NetGenesis
http://support.spss.com/newSupport/ProductsExt/NetGenesis/ProductMatrix.htm


Reporting and Business Intelligence:

Cognos: Cognos 8 BI / Reporting
http://www.cognos.com/products/cognos8businessintelligence/reporting.html

SAS: SAS Business Intelligence
http://www.sas.com/technologies/bi/

Business Objects: Business Objects XI / Crystal Reports
http://www.businessobjects.com/products/

Microsoft Suite included Business Scorecard Manager, SQL Reporting Services, Office Live, etc.—note: Microsoft’s BI position is still quite confusing, but their overall portfolio of products is compelling.
http://www.microsoft.com/sql/solutions/bi/default.mspx
www.microsoft.com/office/bsm/

Vincent also alerted me to include Hyperion as a BI provider. Hyperion's Essbase and related products are mainly concentrated in the financial space, but they have some interesting unique technology. http://www.hyperion.com/products/
I was intrigued at the "Essbase Analytics" product which seems new (last time I worked in Essbase was four years ago) and seems to allow enterprise-level scenario modeling... could be interesting for mix optimization.