Brain Vibe

marketing muses to stay engaged

Archiving Strategy: Data Relevance

We often think of the relavence of data when we want to include or exclude it from analysis or process.  However, are you thinking about relavence as part of your data quality effort?

Just as you focus data quality efforts to clean existing information, there are invariably records that can’t be cleansed or enhanced.  They have no value in either business analytics or business process.  They are noise, similar to the noise you have when there is bad data.  To save and maintain them in your database can affect your ability to accurately analyze information, continue to deflate confidence in data, and if a significant percentage of your database, will cause problems in performance and added maintenance.  Developing an archival strategy as part of your data quality practice is a significant component that should not be overlooked.

Benefits of Data Relevance

  • Trust in data
  • Enables process
  • Accuracy of analysis
  • Supports decisions
  • Database optimization

It can be tempting to simply delete records from your databases.  Though, this can have a detrimental affect due to data dependencies within your databases as well as causing non-compliance in regulated environments.  Instead, it is best to formulate a strategy that flags non-relevant data removing or suppressing it from user interfaces and analytics.

Components of Archiving Strategy

  • Data decay rates – Attributes of records that loose relevance over time.  This component is a good guide on the frequency at which you will focus cleansing efforts.  It also provides an indicator on when data is approaching a horizon when a record will lose its relevance.  Age of the data and activity related to a record, even if a record is complete, can signify whether the data is relavant and open to archiving.
  • Minimum requirements of record viability – Records should continually be assessed to determine if they meet the minimum standards of use.  Failure to meet minimum requirements is a leading indicator that the record is a candidate for archiving.
  • Relevance of record to analysis, process, decisions – If a record is not going to be used in analysis, process, or decision making, there is not need to keep it in use.  This may be the case if processes have been optimized and certain information is no longer needed.  Or, it could be that it was a candidate for archiving due to decay rates and minimum data requirements.  Additionally, relavance may be determined when integrating systems where old records with old transaction history is not relevant to the existing or new business.
  • Regulatory compliance – In highly regulated environments like health care, there are standards on what you can and cannot remove.  Records may not be useful in existing process, analysis, and decision making, but might be required in certification or other compliance related activities.  Archiving ensures that information is not deleted from primary systems.  Although, you may have to provide a mechanism that provides adequate access to data for compliance.

An archiving strategy is a critical component of data quality best practices.  It will continually help you focus on improving and refining your data quality projects as well as thinking strategically about how you use and manage your data on a daily basis.  Establish an archiving strategy at the forefront of your data quality initiatives and you start your efforts off on the right foot.

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Business Intelligence: Decisions, Decisions

Business Intelligence is all about supporting business decision.”

How many times have you heard that?  It’s become the standard mantra.  It is so ubiquitous that I don’t think anyone questions anymore the validity of the statement.  It just is.  However, this is probably the hardest part to facilitate when building out you business intelligence practice.  Facilitating decisions is what makes BI stragetic.

Just what is the business decision? What does a business decision look like?

Elements of a Business Decision:

  • Purpose:  drive a business outcome – ex: revenue, shareholder value, profitability, market share
  • Position:  leads a company, division, department
  • Point in Time:  transition along a process or environment

A typical approach during the business analysis phase for BI is to at business decisions across a business process and where questions are asked to change behavior in that process.  Although, the difficulty with this level of granularity is that it is too deep.  These transition points are tactical.  Intelligence across this process and at these decision points is important, but you don’t get the strategic value of BI at this level.  You need to look at the outcome of the process and provide a platform that supports the decision of what to do next.  This is the unstated question.

Let’s take an example.  Sales management will always want a perspective on the pipeline and forecast.  This shows them how they are meeting their numbers quarter to quarter.  However, outside of conversion and volume, there are business decisions that sales managers need to make.  Should they adjust their territories to capture new opportunity or shore up existing business?  Are there changes needed in commissions to incent sales people along certain products and services to improve profitability or revenue?   BI can lead sales management with insights that will guide them to optimize their processes and management rather than just data.

Purpose:  market share, revenue, profit
Position:  sales
Point in Time:  aligned to quarterly pipeline and forecast

To align BI to the business decision it is important to include executives in the discussion.  Get beyond the reports they want to see and ask the question about how they manage their business.  Walk through scenarios of what they ask as changes in the market or the business arise and how information can help them make a decision.  The better able you are to see how they manage their business, the more valuable the BI practice will be to supporting the business.

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When You Think Your Customers Make Bad Choices

I’ve come across a number of posts recently from social media consultants about the difficulty they face when competing for business against new entrants of social media experts.  I also had an interesting conversation with an agency about what to do when the customer does not take your advice and then blames you for the failure at the end of the project.  In each of these instances at various points of your customer relationships you face challenges of customers making what we consider bad choices.  We often take the approach of trying to educate the customer on why they are wrong and usually we lose in the end.  Here’s the secret, customers make bad choices because we have failed to connect.

Seth Godin spoke elegantly when he said in a recent post,  “Too often we close the sale before we even open it.”

As much as we are called upon for our expertise, the customer has their own preconceived notions about how to go about being successful.  They have as much experience or more in their career and role, the are well regarded in their company.  They need our help, but we are there to make them succeed through flawless execution. We may know more about a topic or approach.  We may even have a better way of doing things.  We know what is best, isn’t that why we are talking to them or working on their project?  But, what is really happening in these situations is that we haven’t really given the customer the right choice.  They haven’t been part of the exchange of ideas.  They don’t understand us.

It is easy to blame the customer for bad choices whether it is who they choose to run a strategic project or change the project plan to something that fails.  In the then, the failure was ours and we need to take some responsibility for that.  We could have done better.  Here are some things to consider to help you customer make better choices.

From a sales engagement perspective, positioning against a competitor is a tricky business.  You certainly want to understand who is out there and how you compare, so ask.  However, you also have to realize that there are some things that are difficult to recognize during the decision process.  Budget is at times at the heart of a decision, but a couple thousand dollars usually doesn’t make or break who wins.  There are things I’ve found while on the client side that may shed light on why you lose in a bid.

  • Inability to solve the problem – After lengthy discussions about the problem faced, the consultant comes back with a boiler plate proposal and cost without aligning to the conversation and showing how the proposal benefits the customer.
  • Inappropriate references – Successful projects are shown and customer references provided but they don’t fit with the clients business or problem.
  • Passing the “beer test” – I had an executive discount a highly successful and experienced consultant simply because he couldn’t work with them. He just didn’t click with them.  He even agreed that they were spot on for the project.
  • Poor or Adequate past performance – Clients may not be fully satisfied with past work or the working relationship to consider continuing.  A project may have been completed and good feedback came back, but the customer was not wowed.

Now that you have the project, it doesn’t stop there.  Building and nurturing the relationship have to continue into the project.  The proposal for the project is typically a rough outline.  You still need to help the customer through the process.  As a client, the best consultants followed these practices.

  • Understand how the client thinks a project should be carried out and why
  • Be prepared to show how the client’s approach has been successful or unsuccessful in other situations
  • Recognize that the client is influenced by internal culture, resources, and past experience that may hinder your the project or ideas
  • Be flexible to utilize customer ideas and augment them to improve results
  • Recognize that if the client does not choose you or rejects your idea you missed something about the project
  • Guide the customer to your approach by helping them realize this is the best option
  • Do not 0utright reject customer input or tell the customer they are wrong

It may take a bit more time, but you’ll be rewarded for your ability to know your customer and have them know you.

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5 Social Media Tips for a B2B Killer App

Social media is just the answer to filling in where sales is exposed in the customer decision process. While many marketers think or are trying to work social media into an often linear lead management’s strategy, think again. Strategies are typically focused at the start of the marketing funnel and not throughout the buying processes.  Social media is the key, allowing for  awareness, credibility, and nurturing. It can also be a valuable tool in your competitive analysis.

The key to creating a meaningful alignment between Marketing and Sales is a relationship where when one is not directly engaged with the customer, the other fills in the gap. This could mean bringing in new opportunities, nurturing and supporting the customer decision process, or maintaining a customer relationship. The difficulty has been that traditional B2B marketing clings to the Marketing Funnel or strategies were push in nature vs. pull.

Here are 5 tips to consider when implementing or refining your social media strategy.

1. Identify how customers leverage social media in their research, purchasing, and decision process
2. Leverage customer questions and their answers to formulate or refine content strategies
3. Track where competitors are present in social media and the amount of views, comments, and traffic is generated
4. Web 2.0/3.0 your Website assets by tagging to thought leadership, solution, and product venues
5. Measure and compare social media property sourcing to websites and feed adoption

Social media is a platform to get your message out and build your value, and it is also provides a wealth of insight into the customer. Instead of relying primarily on the performance of marketing assets and communication strategy metrics, incorporate customer behavior and feedback from networking sites. Your gain a better understanding of how to connect to customers as well as get a leg up on your competition.

Related Posts:

The Offensive Tackle – B2B Marketing Engaged with Sales

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