why crm fails: how thinking data-first can accelerate sales transformation

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How thinking “data- first” can accelerate your sales transformation Why CRM Fails

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CRM projects often do not deliver the sales productivity gains that people expect. It's not the fault of the application. The problem is that the application do not have the complete and correct data that sales reps need to do their jobs well.

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Page 1: Why CRM Fails: How thinking data-first can accelerate sales transformation

How thinking “data-first” can accelerate your sales transformation

Why CRM Fails

Page 2: Why CRM Fails: How thinking data-first can accelerate sales transformation

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63% of CRM initiatives fail

- Merkel Group

High growth companies are 50% more likely to consider CRM strategic – rather than tactical

- Merkel Group

Page 3: Why CRM Fails: How thinking data-first can accelerate sales transformation

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The number of customer touch-points has exploded

You are going to win based on your ability to understand your customer better. This requires a 360 degree view of accurate data from many different touch-points.

But the lack of access to the right data at the right time can kill your sales productivity.

Source: Tata Consulting

Page 4: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Why Doesn’t My CRM Investment Deliver?

“We invested in CRM thinking that it would give us a 360 degree view of our customers and significantly boost sales productivity.”

Things to consider:

Your CRM is only as good as the data in it

Do you have the right data?

Do you have good data?

Do you have complete data?

Page 5: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Applications are commoditizing rapidly

The one sustainable competitive differentiator your organization has is your data – and how you use it.

Page 6: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Data Problems

1. Bad Data2. Missing / Incomplete Data

Page 7: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Bad Data “Why would my data go bad?”

Things to consider:

Are your sales reps good at inputting data?

Has your customer been acquired / spun-off?

Has a contact been promoted or re-organized?

Has a contact left the company?

Do you want your reps to spend their time managing this data?

Data quality erodes at 1% to 1.5% per month if it is

not actively managed.

- Bloor Research

Data quality erodes at 1% to 1.5% per month if it is

not actively managed.

- Bloor Research

Page 8: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Missing/Incomplete Data

“My sales reps spend all their time preparing for meetings and not enough time selling.”

Things to consider:

Your data is scattered across the company. What if your sales reps had all the data they needed in one place, your CRM system?

Customer purchase history

Customer support status & history

Customer marketing “touches”

Other online customer activity

Customer social media activity

Customer payment/billing status & history

Merrill Lynch private client group achieved a 15%

account manager productivity gain by

working with Informatica to enrich their CRM

Merrill Lynch private client group achieved a 15%

account manager productivity gain by

working with Informatica to enrich their CRM

Page 9: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Step 1: What It Would Look Like

Customerproductsowned

Customercampaigns&touches

Customersupportstatus

Customerpaymentstatus

Customerthirdpartydata(D&B)

Customersocialmediaactivity

Right data, Right timeframe, Right quality

CRM

Otherdata

InformaticaEnterpriseDataManagement

Page 10: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Step 2: Add Analytics

Customerproductsowned

Customercampaigns&touches

Customersupportstatus

Customerpaymentstatus

Customerthirdpartydata(D&B)

Customersocialmediaactivity

CRM

Otherdata

• Better quality data means more trustworthy insights from analytics

• More sources of data means more interesting and useful insights

• More sources of data means greater confidence in insights

• More opportunity to get predictive

Analytics

InformaticaEnterpriseDataManagement

Page 11: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Are You Trying To Run a Formula 1 Race Car on Bunker Fuel?

Page 12: Why CRM Fails: How thinking data-first can accelerate sales transformation

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The Importance of Data Quality

Aberdeen Consulting: Organizations with complete trust in data• 51% of them have a data quality

program• 30% of them do not

The Importance of Data Quality

Aberdeen Consulting: Organizations with complete trust in data• 51% of them have a data quality

program• 30% of them do not

Growing Data Complexity

Gartner Predicts:Organizations will spend one third more on application integration in 2016 than they did in 2013.

Growing Data Complexity

Gartner Predicts:Organizations will spend one third more on application integration in 2016 than they did in 2013.

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Page 13: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Recommendations:

To accelerate your sales

transformation and competitiveness,

think outside the application. Think

“data-first.”

What data do my sales reps need

to be competitive?

What bad data is causing loss of

efficiency?

What new data are we missing

that could boost sales

productivity? 13

Page 14: Why CRM Fails: How thinking data-first can accelerate sales transformation

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For More InformationFor More Information

Demo: The Promise of CRM

http://bit.ly/1vZKmDN

Demo: The Promise of CRM

http://bit.ly/1vZKmDN

Page 15: Why CRM Fails: How thinking data-first can accelerate sales transformation

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Roger NolanDirector of SolutionsInformatica

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