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Insight Readiness Scorecard
We can access all key data sources (retail portals, syndicated, shipment, etc.) in a timely manner.
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The data we receive is consistently available in expected formats and timeframes.
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We have centralized storage or easy retrieval for historical data.
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We use a standardized taxonomy for product, channel, and customer definitions.
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Product and retailer hierarchies are consistent across data sources.
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Minimal manual effort is needed to clean and prepare data before analysis.
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Manual alignment or re-mapping of data is rare or unnecessary.
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Data anomalies (e.g., missing weeks, inconsistent units) are automatically flagged and addressed.
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Different data sources align on a common time dimension (week/month/period).
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Analysts spend more time analyzing than preparing data.
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We can easily produce cross-source views (e.g., NielsenIQ + Circana RMS) without rework.
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Our data is trusted and used widely across marketing, sales, and finance teams.
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Total Score
[if [22] < 30]
Your score indicates:
Low Readiness
. A reset may be needed.
[/if]
[if [22] >= 30 and [22] < 45]
Your score indicates:
Medium Readiness
. Bottlenecks exist; review needed.
[/if]
[if [22] >= 45]
Your score indicates:
High Readiness
. You're insight-ready!
[/if]
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