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Our Company is  "Impact First", and we are proud to serve our communities nation wide. We believe our data can serve the same outstanding benefits to nonprofits as it does for our clients, and anything we can do to help our nonprofits succeed is a mission worth pursuing!

Data Lake Masters Company Information

Description: Data Lake Masters provides Power Business Intelligence reporting solutions and Data Aggregation/Mining operations to facilitate a Data Lake environment to expand on Power BI or other data insight capabilities.  Additionally, Task Automation and Customer Support services are executed in development or support of Clients needs.  

Principal Members
Tyler Rouse — Owner (52%), Software Engineer

Brian Calvi — Owner (24%), Business and Marketing Specialist

Cyric Enright — Owner (24%), Systems Engineer

Legal Structure
Data Lake Masters is a Multi-Member Limited Liability Corporation registered within the State of Oregon, USA

NAICS Codes:

541511 - Custom Computer Programming Services (BI Tool Development)

541512 - Computer Systems Design Services (Automation Development)

541513 - Computer Facilities Management Services (BI Tool Management)

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Step 1: Review Data and Determine Design

Timeline: Day 1 - Day 3

In Reviewing Your Data, we look for angles of presentation and valuable metrics that are relevant to your intended BI Tool goals. We can often accommodate more than you may originally intend, without adding additional costs to your project! Based on our unique project billing system, you aren't paying by the hour, but by the total number of Pages / Layers required to accommodate all of the BI Tool needs.

Once the Data Discovery is completed, we focus on Design and BI Layout to accommodate all of the desired data items. These are often Charts, Graphs, Matrix, or other visuals and where these will reside on your BI Report. For each Visual, we ensure that we understand the Who, What, When, Where, and Why of your design ideas to minimize issues at a later time! There will always be adjustments in the Refinement and QA Phase, but diligence here in the Planning Phase is our key to efficiency!

Step 2: Initial Development

During this time, we are busy Building Your Project by adding all of the Data, the subscribed DLM Data Lake Data (if applicable), and adding this data group to Visuals, Graphs, Charts, and other Data Representations. Ensuring a smooth User Experience, Ease of Use, and developing Technical Documentation are our priorities during this phase.

If requested, we can also add In-Report Training Resources during this phase, providing your Users with a unique Training experience as they utilize the report once completed. We are often completed with this phase before 15 Days, however certain challenges or delays may occur which require time to overcome or resolve. While this phase is underway, we may reach out to our Partners for clarification or critical feedback as needed (we will always minimize needs of our Partners time!).

Step 3: Refinement and Quality Assurance

During Refinement, we are assessing our Design and Data Layout in your BI Tool for any minor changes needed, and our Partners' Feedback to optimize the Design of the BI Tool. There are often color changes or a rearranging of Data Visualizations, however we take pride in meeting the Project Scope (meaning that we are often very close to our Partners goals at the start of this process).

For Quality Assurance, we are building automated processes to Audit the BI Tool Data for absolute accuracy. Ideally, this Automation allows us to ensure your BI Tool is 100% correct, without the need to dedicate hours of manual verification. Instead, we click a single button in our Audit Automation Software to perform our Partners BI Tool Audits! This saves a tremendous amount of time and enables us to keep our pricing as low as possible.

Step 4: Delivery and Training

Power BI Security - Already Built In!
Scalable, Easy, and Designed for Minimizing Your Costs!
Power BI uses Row Level Security, which enforces security filtering and access on each and every row of data.  This is built into the tool itself, ensuring that there is no external dependencies that can be used to bypass this security measure.

Break down your Data to Access Groups

Executives along with all other staff can use the SAME BI Link to access the same BI Tool! The Row Level Security filters the data to the appropriate level and focus area, ensuring that management can only see management data, while restaurant staff only see restaurant data (for department focuses).  This simplifies the creation and use of your new BI Tool!

Accessing your BI Tool couldn't be Easier!

Your BI Tool is available via Web or Mobile Device!

Web Access of your BI Tool

Using a web link intended for your BI Tool, Users can access the tool and use it in its entirety (depending on Row Level Security settings).  The Web view is recommended, as all of the visuals are represented in their entirety, and the viewing space for data to become more detailed is available.

Mobile Access of your BI Tool

Microsoft provides a Power BI Mobile App which allows access to all of your BI Reports with a specialized Mobile view. This Mobile View shows a smaller, more compact version of the BI Report, generally sticking to higher level Key Point Indicators and simpler graphs/visuals.

We truly stand by our motto of "Succeed Together", and our tools are designed to help YOU succeed. If for any reason that you (as our Partner) need to Cancel or Pause a Success Plan, be rest assured that there are no fees at all! We want all of our Partners to be thrilled with our services, and that starts by ensuring our partnership is always in Your best interest.

When Cancelling or Pausing a Success Plan (or for Success Plans that are 30 days or more past due), we simply replace the BI Tool screen with a "Under Maintenance" screen which prevents access to the BI Tool, but does not indicate a payment or account issue.

There are NO Fees with Restarting a Success Plan or making a late payment!

Please Note: Success Plans cover the entire cost of the BI Tool Development, and payments made are to "catch up" on the amount owed. Cancellations do NOT provide any refund. Our BI Tools are fully developed before a Success Plan starts, with time, expenses, and team members already completed with their commitments.

This is all made possible because our Success Plans are In-House and utilize no Lending. This means (with transparency), that we at Data Lake Masters accept all of this risk. We do this in an effort to ensure that our company always strives for Impact First (instead of Profit First), and we are proud to help businesses achieve what Power BI can provide for them.

Unavoidable: Microsoft Licensing

All Power BI Reports are hosted on Microsoft Fabric servers, providing a robust secure and easily accessibly platform.  Unfortunately, this also means the requirement of a Power BI Pro License ($20/mo) is required for all Users accessing a BI Tool. The only way to avoid this is to publicly publish the BI Tool, which is NOT recommended for any BI containing any form of sensitive data.

DLM BI Management Includes this License in All Plans

We try to keep everything as simple as possible here at Data Lake Masters! All of our Power BI Management Plans (Bronze, Silver, Gold) come with a Power BI Pro license per User. This ensures that all of your Users have access, all of the time. Should any issues occur (very rare, other than password resets), simply let us know and we will address it immediately!

Own Your BI Tool as an Asset

Ownership of your tools occurs when your BI Tool development is paid in full, whether upfront or by using our BI Tool Success Plans. This means your BI Tool becomes your property (with all of its business benefits), and you can choose to manage your tool any way you'd like. While we always encourage trying our BI Management Service, there are many other great companies that can do this for you as well. This maintains integrity in our pricing and service by always ensuring our clients are happy.

Our Practices at DLM

• Dependable, Affordable Flat Pricing
• BI Tools are Owned by our Clients when paid in Full
• In-House Success Plans at 0% Interest up to 24 Months
• Exact Scalable Management reducing overhead costs
• All Services separate with Bundle Pricing

Practices We Avoid

• Hourly, Expensive Pricing
• Perpetual billing resulting in No Ownership of BI Tools
• All Development due Up Front(Costly to get started)
• Bulk Scaling to Maximize Costs for Profits
• Non-Negotiable Bulk Packaging of Services

Data Lake Development

Our Data Lake continues to grow every day, adding distant data sources and providing links between data focus areas that are traditionally very difficult to maintain.  We utilize an In-House Software produced by our team to create and automate every need of the data collection and data lake growing process.  Once a data source is added, it automatically gathers and updates the appropriate data lake data, saving us time and money, which reduces our overhead costs, which saves our clients money (by affording lower prices).

Data Lake Data Linking

Data Lake Development requires a bullet-proof system for comparing and linking data.  Our DLM exclusive system makes it simple, based in the same way that we link and relate information as humans. Through the "6th Degree of Separation" concept of life applied to data, we catalogue all data being entered into the data lake in great detail and using a "DLM Relational Matrix", can tie distant data together to show as a data product.

Data Lake QA

Quality Assurance within a data lake is always the Top Priority!  No matter how much information is added, it is only valuable and useful if it is clean, viable data. Our In-House software has 4 Quality Assurance Checkpoints and over a dozen Data Safeguards to ensure it limits and checks data accordingly prior to being entered into the Data Lake. Our Central Management section of the software alerts our staff to any anomalies, discrepancies, or issues that may be occurring within Collection or QA so it can be promptly handled.

Data Lake QA Automation

Quality Assurance within our Data Lake is automated using the steps and procedures outlined within the data collection and refinement of any data source. Automation during this process provides many excellent advantages, such as mitigating human error in each QA phase, accelerating results, and any anomaly or failure in QA is reported to their human data specialist counterparts for immediate attention.  This all leads into keeping our overhead low, so our pricing can be low.

Data Lake Products

Data As A Service is the production and delivery of routine Data Products (Structured Data), which is used within a Data Visualization Tool (like Power BI, Excel), often to compare distant data. From the Clients perspective, it gives the ability to compare outlying factors and see the impact on their business such as shipping delays/pricing, community/societal trend data, or even competing company data. With this data alongside yours, it can enable more informed decisions in reducing costs and fine tuning areas to increase revenue.
As Data is constantly updating and accruing as time continues, Data As A Service is simply a subscription to a specific Data Perspective, where the pricing is set by "Update Interval" for that data product. The Update Interval Price is more expensive the shorter the interval (Daily is more expensive than Weekly, which is more expensive than Monthly, etc.). All Data Perspectives come complete with a Data Scoring and Viability Report specific to each column of data. 

Data Lake Scalability

Data Lake Development either requires intense labor and manhours with many skilled persons updating and maintaining data contained within the data lake. Our In-House software is designed to be a "Set-Up and Automate" system, where we are adding the process of a sources collection on the initial setup, and our software automates those processes from that moment onward.  With This approach, we can typically add a new data source within 1 hour, and have it automated from then on.

This provides:

• Growth without latency or requirement for greater personnel
• Automated Data Collection with minimal labor and Time requirements
• Automated Data QA to reduce the traditionally most time-consuming task
• Automated Data Inclusion to the Data Lake
• Automated Data Lake navigation and Data Selection
• And finally, Automated Data Product Generation and Delivery to our Clients

Automation Building

 With DLM Automation Services, we specialize in taking routine tasks performed daily, and turning them into automated tasks by a click of a button or schedule. Our In-House Automation Software allows us to set-up an automation flow, and have it run the entirety of your task, producing your desired results, and enabling you for success at a fraction of human labor costs and without the potential for human error.

Automation involves 3 east Steps:

1. Understanding the Process for Automation (1 - 3 Days)

2. Developing the Automation Process (3 - 10 Days)

3. Reviewing and QA of Automation (3 - 10 Days)

Depending on if the Software is In-House or Developed, the Client may or may not receive a software product containing the automation steps.

In House vs Developed Automation

 In-House Automation is like outsourcing a task to DLM, where we complete it using our automation, and you receive an end product as desired. There are some Pros and Cons to this method, and the alternative method.

Pros: No Development Costs, No Software to manage or deal with

Cons: No Ownership of the Automation which leads to perpetual billing.


Developed Automation is like contracting DLM to produce a Automation Software for your company, where your company would receive a software product, giving ownership of the automation and eliminating the perpetual billing cycle.

Pros: Ownership over the automation software, No Perpetual Biling

Cons: Development is costly and introduces additional hassles

Automation Pricing

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Automation Ownership

Own Your Automation Tool as an Asset

Ownership of your tools occurs when your Automation Tool development is paid in full.  We don't currently offer any Success Plans for Automation, however we do intend on opening this in the future. When you Own your Automation Tool, you don't owe DLM anything from that moment forward, but you have your tool to use whenever it is convenient to use!

Our Practices at DLM

Dependable, Affordable Flat Pricing
Automation Tools are Owned by our Clients when paid in Full
Exact Scalable Development reducing overhead costs

 

Practices We Avoid

Hourly, Expensive Pricing
Perpetual billing resulting in No Ownership of Automation Tools
Bulk Development to Maximize Costs for Profits
Non-Negotiable Bulk Packaging of Development Items

Data As A Service is the production and delivery of routine Data Products (Structured Data), which is used within a Data Visualization Tool (like Power BI, Excel), often to compare distant data. From the Clients perspective, it gives the ability to compare outlying factors and see the impact on their business such as shipping delays/pricing, community/societal trend data, or even competing company data. With this data alongside yours, it can enable more informed decisions in reducing costs and fine tuning areas to increase revenue.

Why is it a Service and not a Product?

As Data is constantly updating and accruing as time continues, Data As A Service is simply a subscription to a specific Data Perspective, where the pricing is set by "Update Interval" for that data product. The Update Interval Price is more expensive the shorter the interval (Daily is more expensive than Weekly, which is more expensive than Monthly, etc.). All Data Perspectives come complete with a Data Scoring and Viability Report specific to each column of data.

3 Easy Steps to Getting Started With Your Data!

1. Define Your Data Perspective
A Data Perspective is a dataset that consists of 1 Primary and 2 Secondary data focus areas. The Primary data focus is the primary focus of the data (like a Noun in vocabulary), such as a select industries Company Data, Shipping Delays Data, and specific Product Data. Secondary Data Focus Areas are supplemental to the Primary, showing relevant data Per Primary. The Data Perspective as a whole should provide relevant insight to your Company, its performance, and Revenue/Expense Impact Areas.

2. Select Your Update Interval
The dynamic nature of Data in Time requires a consistent updating of data to remain relevant, as we are often comparing Current to Historical Data. Update Intervals can provide Daily, Weekly, Monthly, Quarterly, or Annual recurring data updates, based on what data is being captured and the dynamic importance of its fluctuations. Product Data as an example may be measured in Daily or Monthly fluctuations based on the Clients needs. One-Time Data is also available!

3. Select Data Delivery Method
In the world of competing software, devices, and data storage, we provide many different methods of Data Delivery to best suit your needs. We even provide Custom Software Solutions to quickly upload/update your DLM data so it is quickly and readily prepared for your data tools. Typically, we deliver this through a Unique URL Link for Download in Excel (.xlsx), CSV, or provide our Auto-Downloader tool (free tool, Windows Only) which provides SQL UPDATE + INSERT support. If you utilize a storage that we currently do not support, or if you believe a custom tool could make it easier, Let Us Know!

Data Quality Assurance

Data Lake QA

Quality Assurance within our Data Products are critical to our reliability.  No matter how much information is added, it is only valuable and useful if it is clean, viable data. Our In-House software has 4 Quality Assurance Checkpoints and over a dozen Data Safeguards to ensure it limits and checks data accordingly prior to being entered into the Data Lake. Our Central Management section of the software alerts our staff to any anomalies, discrepancies, or issues that may be occurring within Collection or QA so it can be promptly handled.

Data Lake QA Automation

Quality Assurance within our Data Lake is automated using the steps and procedures outlined within the data collection and refinement of any data source. Automation during this process provides many excellent advantages, such as mitigating human error in each QA phase, accelerating results, and any anomaly or failure in QA is reported to their human data specialist counterparts for immediate attention.  This all leads into keeping our overhead low, so our pricing can be low.

Data Delivery

Data Delivery is usually dictated at this point by the vendor (that's us), and its usually because of limited systems access.  Since we develop our own In-House software, we can generally deliver your data in any way that YOU would prefer it. If you have another preferred method, just let us know!  Its very likely we will adopt your request and include it into our In-house software.  Currently, we deliver our data to our clients using the following methods:

• SFTP - Delivered via File (CSV, XLSX)
• Secured Web page - Delivered via File (CSV, XLSX)
• SQL Transaction - Delivered as INSERT/UPDATE connection

Automated Delivery

Data Products are delivered automatically by the final phase of our In-House Software, with the Collection, QA, and Data lake Updating all being scheduled and automated prior to each data product delivery.  This automation enables us to ensure that you always get your data products On Time, Every Time.

Data Perspectives

Data Perspectives are the basis of all our Data Products. Each Data Perspective is a dataset of data, or a large single sheet of data on an Excel Spreadsheet comprised of a Primary Data Focus Area (the core of the data), and 2 Secondary Focus Areas (supplemental data added to the core data).
The best way to picture a Data Perspective (Example is for a Resident Care Facility):

Data Perspective Results as a Product

Data Perspectives can result in either 1 Large Table containing all 3 Data Focuses combined (By adding the Secondary Data Focuses as additional columns, matched by identifying columns) or it can be up to 3 Separate Tables.  If more than 1 table is required, additional details are sent to our client to simplify Data Discovery and integration.

Data Viability Scoring

Data Viability Scoring is the method we use at DLM to determine the "Trust/Confidence Factor" we have for each column or source of data. Each Data Product comes complete with this report, detailing key factors such as "Source Confidence", "Column Confidence", "Number of Blank Values", etc in an effort to be transparent in our findings and maintain integrity in our services. We assess this on the following concepts: 

Source: How well known and trusted is the Source?  Is the information maintained by a company, or by its users? How reliable is the Source based on average data assessment?

Column: How frequent are Blanks occurring?  Is the information complete, or a prelude segment? What is the rate of QA Anomaly Detection (occurs when QA finds a new item in question)?

Data Pricing

We try to keep everything simple and effective. Our Data Pricing is no exception, where we price each Data Perspective simply by Data Update Interval. As it requires more resources to refresh Daily than Annually, our pricing reflects the same trend, being more expensive when refreshed Daily, and less expensive when refreshed Annually with varying flat-rate pricing in between. 

One-Time Data is Available upon request, Billed Practically.

Not every client will need data routinely, but may need it for other purposes such as Research, Historical Data Analysis, or a variety of other needs. We do provide Custom Data Perspectives without a routine data delivery, billed based on the time range of data included, and the granularity (if the data is Monthly, Daily, etc). Static Data (such as static Company Data, is billed at $0.01 per row. ). Most clients will receive a Custom Data Perspective at the prices listed above, as Data is typically a "Over-Time" pursuit.

Update Interval Pricing

Special Considerations apply Special Discounts
We provide a series of discounts to help enable our Community Impact goals!

10% Discounts for Educational and Research Institutions, and for Data being added to a DLM produced BI Tool

15% Discounts for Fire, EMS, and Police Organizations as well as Veteran Owned and Operated Companies (Thank you for your service!)

20% discount for Military and Military Veteran Organizations.

Community Impact is essential to a DLM Goals!

Data Is FREE for Non-Profit Organizations 501(c)!

We are always seeking to make an impact within our communities, and we are always looking for Non-Profits to use our Data for FREE! We hope that the data we provide assists these great nonprofits in reaching greater goals, creating more amazing impact, and facilitate their missions to impact our community. We do require the Nonprofits be an active 501(c) organization, and receipt for FMV for all data provided, but at NO COST or invoicing, ever! Reach out to us and let us know what we can assit with, and we will be happy to facilitate.

Our Community Impact is critical to our Team Mission!

Data Automation

Data Product Development either requires intense labor and manhours with many skilled persons updating and maintaining data contained within the product. Our In-House software is designed to be a "Set-Up and Automate" system, where we are adding the process of a sources collection on the initial setup, and our software automates those processes from that moment onward.  With This approach, we can typically add a new data source within 1 hour, and have it automated from then on.

• Data Collection from Sources is Automated
• Data QA post-collection is Automated
• Data Lake Uploads to add/update data is Automated
• Data Product Creation is Automated
• Data Product Delivery is Automated

This provides the following:

Growth without latency or requirement for greater personnel
Automated Data Collection with minimal labor and Time requirements
Automated Data QA to reduce the traditionally most time-consuming task
Automated Data Inclusion to the Data Lake
Automated Data Lake navigation and Data Selection
And finally, Automated Data Product Generation and Delivery to our Clients

Data Storage Systems

Our Data Storage is all located In-House, reducing our overhead costs and allowing us to pass that through into keeping our data pricing low.  All of our system operating Data Collection, QA/Refinement, Uploading, and Data product creation are all also In-House. 

With our Data Storage, we focus on Security, QA, Redundancy, and Scalability, all centrally managed by our Central Management In-House software, with the exception of required native 3rd party applications.

If a Data Storage were to ever fail, we simply recollect the data and re-open the data availability for that data section again! If for any reason a data perspective is unavailable, our billing system is automatically flagged to not bill you during that cycle as the product would be unavailable.

Our In-House Data Software Operates in 4 Phases:

Data Collection

• Collects Data and prepares it for Refinement
• This phase establishes steps and procedures for the collecting of data from any structured public source. After the initial creation of the Data Flow, the collection is fully automated including scheduling of data updating.
• This phase takes the longest of the 4.

Data QA and Upload

• Refines Data & Uploads it to the Data Lake
• This phase receives the data collected in the previous phase and refines the data based on a set of automated refinement rules. Once completed, it uploads the data to the Data Lake, updating existing records and inserting new records as needed.
• This phase is the most complex of the 4.

Data Recall

• Discovers Data & Exports it from the Data Lake
• Based on the Data Lake configuration, this relates data selected to any Primary data point of a Data Perspective (usually industry data, competing company data, etc.) and facilitates the building of a completed Data Perspective.
• This phase is the easiest of the 4.

Data Delivery

• Delivers Data on a Schedule Automatically, On Time
• Using the data from the previous phase, this phase prepares and delivers the data to the Partner on a scheduled basis, after data lake data updating has all occurred. This enables our Partners to continue with their mission on time.
• This phase is the fastest of the 4.

Software Automation

All of our Data actions are automated past the first set-up for that Data Product or Data Source. This helps to ensure our pricing stays low (by reducing labor required) while we scale our Data Lake and Development Operations (to ever greater things!). The focus of each phase' automation are:

Data Collection : To acquire data accurately

Data QA and Upload :To refine data without Human Error

Data Recall: To associate distant Data diversely

Data Delivery : To ensure all Data Products are delivered On Time, Every Time

Data Delivery Details

Data Delivery is usually dictated at this point by the vendor (that's us), and its usually because of limited systems access.  Since we develop our own In-House software, we can generally deliver your data in any way that YOU would prefer it. If you have another preferred method, just let us know!  Its very likely we will adopt your request and include it into our In-house software.  Currently, we deliver our data to our clients using the following methods:

• SFTP - Delivered via File (CSV, XLSX)
• Secured Web page - Delivered via File (CSV, XLSX)
• SQL Transaction - Delivered as INSERT/UPDATE connection

Automated Delivery

Data Products are delivered automatically by the final phase of our In-House Software, with the Collection, QA, and Data lake Updating all being scheduled and automated prior to each data product delivery.  This automation enables us to ensure that you always get your data products On Time, Every Time.

Software Data QA Details

Quality Assurance within our Data Products are critical to our reliability.  No matter how much information is added, it is only valuable and useful if it is clean, viable data. Our In-House software has 4 Quality Assurance Checkpoints and over a dozen Data Safeguards to ensure it limits and checks data accordingly prior to being entered into the Data Lake. Our Central Management section of the software alerts our staff to any anomalies, discrepancies, or issues that may be occurring within Collection or QA so it can be promptly handled.

Software Data QA Automation

Quality Assurance within our Data Lake is automated using the steps and procedures outlined within the data collection and refinement of any data source. Automation during this process provides many excellent advantages, such as mitigating human error in each QA phase, accelerating results, and any anomaly or failure in QA is reported to their human data specialist counterparts for immediate attention.  This all leads into keeping our overhead low, so our pricing can be low.

Data Perspective Concept

Data Perspectives are the basis of all our Data Products. Each Data Perspective is a dataset of data, or a large single sheet of data on an Excel Spreadsheet comprised of a Primary Data Focus Area (the core of the data), and 2 Secondary Focus Areas (supplemental data added to the core data).
The best way to picture a Data Perspective (Example is for a Resident Care Facility):

Data Perspective Results as a Product

Data Perspectives can result in either 1 Large Table containing all 3 Data Focuses combined (By adding the Secondary Data Focuses as additional columns, matched by identifying columns) or it can be up to 3 Separate Tables.  If more than 1 table is required, additional details are sent to our client to simplify Data Discovery and integration.

Data Viability Scoring

Data Viability Scoring is the method we use at DLM to determine the "Trust/Confidence Factor" we have for each column or source of data. Each Data Product comes complete with this report, detailing key factors such as "Source Confidence", "Column Confidence", "Number of Blank Values", etc in an effort to be transparent in our findings and maintain integrity in our services. We assess this on the following concepts: 

Source: How well known and trusted is the Source?  Is the information maintained by a company, or by its users? How reliable is the Source based on average data assessment?

Column: How frequent are Blanks occurring?  Is the information complete, or a prelude segment? What is the rate of QA Anomaly Detection (occurs when QA finds a new item in question)?

Primary Focus Areas

Primary Focus Areas are the basis of every Data Product, serving as the primary focus of the data, and therefore having the most/reliable data.  Generally for businesses this would be "Competing Company Data", or "Product Data", for Non-Profits this can be anything related to the field of focus.

This Primary Focus Area builds the base for the Data Perspective, which results in either 1 Large Table containing all 3 Data Focuses combined (By adding the Secondary Data Focuses as additional columns, matched by identifying columns) or it can be up to 3 Separate Tables. If more than 1 table is required, additional details are sent to our client to simplify Data Discovery and integration.

Secondary Focus Areas

Secondary Focus Areas are the supplemental data of every Data Product, serving as the secondary focus of the data, and therefore having matched data which can be less complete.  Generally for businesses this might be "Competing Company Pricing", or "Product Data Pricing", for Non-Profits this can be anything related to the field of focus, supplementing the Primary Data Focus.

This Secondary Focus Area adds to the base for the Data Perspective, which results in either 1 Large Table containing all 3 Data Focuses combined (By adding the Secondary Data Focuses as additional columns, matched by identifying columns) or it can be up to 3 Separate Tables. If more than 1 table is required, additional details are sent to our client to simplify Data Discovery and integration.