Kristl Smith Tyler

Kristl
Smith Tyler

Kristl Smith Tyler is the national business intelligence practice director for NWN’s NVision Software Solutions Consulting Division.

Articles
SSIS Novices’ Guide to Data Warehouses: Flattening While Staging the Data 2
When building a data warehouse, you often need to flatten the data when you move it from the Raw tables to the Stage tables. Flattening data can be a difficult concept for new warehouse designers to grasp, so here are two detailed examples.
SSIS Novices’ Guide to Data Warehouses: Moving Data into the Data Warehouse 7
If you're inexperienced with using SSIS, creating a data warehouse might seem like an impossible task—but it's not if you use some different strategies. For example, you can use a wizard to initially create an SSIS package that will move data from the source system into the data warehouse.
Build a Cube to Perform Scenario-Based Risk Analysis
Find out how to design and build a cube that can be used to simulate changing conditions for risk analysis.

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From the Blogs
Jul 17, 2017
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How Inferred Linking in Matched Records Digs Deeper into Your Data

Duplicate records clutter databases and render the data within them unclear. This kind of problem is very common, and it’s the main reason that deduping software exists. But there’s another benefit to deduplication software: the ability to infer connections between individual records from various data sets....More
May 22, 2017
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Chief Data Officer Playbook: How to Be Successful in This Ground-Breaking Role

Companies looking to grow and extract value from their data are increasingly turning to Chief Data Officers (CDOs) to execute their data strategy. The role is new, and a playbook is necessary to address the many challenges CDOs face....More
May 12, 2017
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5 Common Challenges to Building BI in the Cloud

After spending 20 years building analytics, BI and database solutions, I've focused on Cloud data solutions over the past 2 years. I've chosen 5 common challenges that I face every day with Cloud migrations and that you'll face in your Cloud BI projects....More

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