This document provides tips for collecting and storing data. It recommends collecting data that is needed, will be used, and can be gathered consistently. Specific types of data are recommended such as contact information, donation details, and information required by law or grants. Data should be stored securely and consistently using standardized formats and unique identifiers. Notes fields can capture any uncertainties or questions about the data. Address formats and validation are also discussed.
Will you be ready to comply with new EU Data Protection Regulation in time?Per Norhammar
No time to lose to comply with the new EU Data Protection Regulation - deadline is May 2018
Soon you will have to find, evaluate and categorize your company’s stored Personal Data (PD) in what may be thousands of databases. In order to be compliant with this new regulation, in due time, new processes have to be in order.
Several companies may be well on the way to define how to handle GDPR compliance for structured data. But many companies still haven't come up with a good way to handle GDPR compliance for unstructured data..
This whitepaper provides the main information about unstructured data and the Xenit solution to manage documents under the regulation.
Regulatory Control functions, such as Operational Risk, Compliance and Audit, increasingly raise questions around the scope, management, and identification of sensitive data within distributed and mainframe application environments.
Will you be ready to comply with new EU Data Protection Regulation in time?Per Norhammar
No time to lose to comply with the new EU Data Protection Regulation - deadline is May 2018
Soon you will have to find, evaluate and categorize your company’s stored Personal Data (PD) in what may be thousands of databases. In order to be compliant with this new regulation, in due time, new processes have to be in order.
Several companies may be well on the way to define how to handle GDPR compliance for structured data. But many companies still haven't come up with a good way to handle GDPR compliance for unstructured data..
This whitepaper provides the main information about unstructured data and the Xenit solution to manage documents under the regulation.
Regulatory Control functions, such as Operational Risk, Compliance and Audit, increasingly raise questions around the scope, management, and identification of sensitive data within distributed and mainframe application environments.
Are you prepared for eu gdpr indirect identifiers? what are indirect identifi...Steven Meister
What is your solution for GDPR’s Indirect Identifiers? Many aren’t sure what they are and will probably be unsuccessful when attempting to become GDPR compliant. Allow me to explain.
As a software development manager, I must confess that the Discovery & Remediation of Indirect Identifiers was the most complex project I have managed in my 33 years in the industry.
First, let me explain what an Indirect Identifier is. According to the “Privacy Technical Assistance Center of the U.S. Department of Education, it means “Indirect identifiers include information that can be combined with other information to identify specific individuals, including, for example, a combination of gender, birth date, geographic indicator and other descriptors.”
Closing the data source discovery gap and accelerating data discovery comprises three steps: profile, identify, and unify. This white paper discusses how the Attivio
platform executes those steps, the pain points each one addresses, and the value Attivio provides to advanced analytics and business intelligence (BI) initiatives.
Presentation on data protection given at the Community Archives conference 2018 by Jon Elliott (Archives and Records Association) and Jack Latimer (Community Archives and Heritage Group)
This file describes the contents and structure of the files in the HeirList Knowledge Base folder, and how they can be used. www.heirlist.com tinyurl.com/yutt4fc7
GDPR BigDataRevealed Readiness Requirements and EvaluationSteven Meister
This GDPR methodology can evaluate your GDPR readiness. For those feeling GDPR ready, you may uncover complex issues often neglected. For those that have waited, you can gain knowledge providing for a more successful GDPR outcome.
https://youtu.be/uE4Q7u0LatU https://youtu.be/R37S9mIiVAk https://youtu.be/AQf3if7DnuM
Enterprise Information Catalogue Another WayVictor Zhang
Here I present another perpective on how to organize,catalogue,share and access information or knowledge within enterprise.
It has some ideas on typical scenarios on how we utilize the information to fulfill daily job and also briefs the features of a software which I used to implement the ideas.
It's just a platform which for in-house use and I think it really make some difference to the way how I and my team to tidy-up and share the information.
Welcome any ideas, comments and discussions. You can reach me at victor.reload@gmail.com
Is Dirty Data Clogging your Marketing Engine? Do what high performance companies do; implement a data management program with InsideView. The sooner you do, the lower the cost.
1. What are the business costs or risks of poor data quality Sup.docxSONU61709
1. What are the business costs or risks of poor data quality? Support your discussion with at least 3 references.
Data area utilized in most of the activities of corporations and represent the premise for choices on operational and strategic levels. Poor quality information will, therefore, have considerably negative impacts on the potency of a company, whereas good quality information is typically crucial to a company's success. The development of information technology throughout the last decades has enabled organizations to gather and store huge amounts of data. However, because the data volumes increase, thus will the complexity of managing them. Since larger and additional complicated info resources are being collected and managed in organizations nowadays, this implies that the chance of poor data quality increases.Poor data quality might have significant negative economic and social impacts on an organization.The implications of poor data quality carry negative effects to business users through: less client satisfaction, increase in running prices, inefficient decision-making processes, lower performance and low employee job satisfaction.
References:
1. Haug, A., Zachariassen, F., & van Liempd, D. (2011). The cost of poor data quality. Journal of Industrial Engineering and Management, 4(2), 168-193
2. https://www.edq.com/blog/the-consequences-of-poor-data-quality-for-a-business/
3. Knowledge Engineering and management by the masses. 17th International Conference,EKAW 2010,Lisbon,Portugal,October 11-15,2010 Proceedings
2. Data Mining: Data Mining is an analytic method designed to explore knowledge (usually massive amounts of data - generally business or market connected - conjointly called "big data") in search of consistent patterns and/or systematic relationships between variables, and then validate the findings by applying the detected patterns to new subsets of data. The ultimate goal of data mining is prediction - and predictive data mining is that the most typical sort of data processing and one that has the foremost direct business applications.The process of data mining consists of three stages: (1) the initial exploration, (2) model building or pattern identification with validation/verification and (3) deployment.
Reference:
1. Three perspectives of data mining Zhi-Hua Zhou.
2. http://www.statsoft.com/Textbook/Data-Mining-Techniques
3. https://paginas.fe.up.pt/~ec/files_0506/slides/04_AssociationRules.pdf
3. Text Mining: Text mining and text analytics area broad umbrella terms describing a variety of technologies for analyzing
and processing semi-structured and unstructured text data. The unifying theme behind every of those technologies is that the ought to “turn text into numbers” thus powerful algorithms will be applied to giant document databases.Converting text into a structured, numerical format and applying analytical algorithms require knowing how to both use and combine techniq ...
Organizations looking to benefit from the scalability, agility, and capital cost savings of cloud computing inevitably
encounter the issues of data privacy and security. In the corporate data center, data security and privacy are mostly
about protection from hackers and insiders. In the cloud, however—public, community, hybrid, and sometimes even
private-- they are also affected by where data resides and the impact of local, regional, and national regulations on
the privacy of that data--an issue known as data sovereignty.
Are you prepared for eu gdpr indirect identifiers? what are indirect identifi...Steven Meister
What is your solution for GDPR’s Indirect Identifiers? Many aren’t sure what they are and will probably be unsuccessful when attempting to become GDPR compliant. Allow me to explain.
As a software development manager, I must confess that the Discovery & Remediation of Indirect Identifiers was the most complex project I have managed in my 33 years in the industry.
First, let me explain what an Indirect Identifier is. According to the “Privacy Technical Assistance Center of the U.S. Department of Education, it means “Indirect identifiers include information that can be combined with other information to identify specific individuals, including, for example, a combination of gender, birth date, geographic indicator and other descriptors.”
Closing the data source discovery gap and accelerating data discovery comprises three steps: profile, identify, and unify. This white paper discusses how the Attivio
platform executes those steps, the pain points each one addresses, and the value Attivio provides to advanced analytics and business intelligence (BI) initiatives.
Presentation on data protection given at the Community Archives conference 2018 by Jon Elliott (Archives and Records Association) and Jack Latimer (Community Archives and Heritage Group)
This file describes the contents and structure of the files in the HeirList Knowledge Base folder, and how they can be used. www.heirlist.com tinyurl.com/yutt4fc7
GDPR BigDataRevealed Readiness Requirements and EvaluationSteven Meister
This GDPR methodology can evaluate your GDPR readiness. For those feeling GDPR ready, you may uncover complex issues often neglected. For those that have waited, you can gain knowledge providing for a more successful GDPR outcome.
https://youtu.be/uE4Q7u0LatU https://youtu.be/R37S9mIiVAk https://youtu.be/AQf3if7DnuM
Enterprise Information Catalogue Another WayVictor Zhang
Here I present another perpective on how to organize,catalogue,share and access information or knowledge within enterprise.
It has some ideas on typical scenarios on how we utilize the information to fulfill daily job and also briefs the features of a software which I used to implement the ideas.
It's just a platform which for in-house use and I think it really make some difference to the way how I and my team to tidy-up and share the information.
Welcome any ideas, comments and discussions. You can reach me at victor.reload@gmail.com
Is Dirty Data Clogging your Marketing Engine? Do what high performance companies do; implement a data management program with InsideView. The sooner you do, the lower the cost.
1. What are the business costs or risks of poor data quality Sup.docxSONU61709
1. What are the business costs or risks of poor data quality? Support your discussion with at least 3 references.
Data area utilized in most of the activities of corporations and represent the premise for choices on operational and strategic levels. Poor quality information will, therefore, have considerably negative impacts on the potency of a company, whereas good quality information is typically crucial to a company's success. The development of information technology throughout the last decades has enabled organizations to gather and store huge amounts of data. However, because the data volumes increase, thus will the complexity of managing them. Since larger and additional complicated info resources are being collected and managed in organizations nowadays, this implies that the chance of poor data quality increases.Poor data quality might have significant negative economic and social impacts on an organization.The implications of poor data quality carry negative effects to business users through: less client satisfaction, increase in running prices, inefficient decision-making processes, lower performance and low employee job satisfaction.
References:
1. Haug, A., Zachariassen, F., & van Liempd, D. (2011). The cost of poor data quality. Journal of Industrial Engineering and Management, 4(2), 168-193
2. https://www.edq.com/blog/the-consequences-of-poor-data-quality-for-a-business/
3. Knowledge Engineering and management by the masses. 17th International Conference,EKAW 2010,Lisbon,Portugal,October 11-15,2010 Proceedings
2. Data Mining: Data Mining is an analytic method designed to explore knowledge (usually massive amounts of data - generally business or market connected - conjointly called "big data") in search of consistent patterns and/or systematic relationships between variables, and then validate the findings by applying the detected patterns to new subsets of data. The ultimate goal of data mining is prediction - and predictive data mining is that the most typical sort of data processing and one that has the foremost direct business applications.The process of data mining consists of three stages: (1) the initial exploration, (2) model building or pattern identification with validation/verification and (3) deployment.
Reference:
1. Three perspectives of data mining Zhi-Hua Zhou.
2. http://www.statsoft.com/Textbook/Data-Mining-Techniques
3. https://paginas.fe.up.pt/~ec/files_0506/slides/04_AssociationRules.pdf
3. Text Mining: Text mining and text analytics area broad umbrella terms describing a variety of technologies for analyzing
and processing semi-structured and unstructured text data. The unifying theme behind every of those technologies is that the ought to “turn text into numbers” thus powerful algorithms will be applied to giant document databases.Converting text into a structured, numerical format and applying analytical algorithms require knowing how to both use and combine techniq ...
Organizations looking to benefit from the scalability, agility, and capital cost savings of cloud computing inevitably
encounter the issues of data privacy and security. In the corporate data center, data security and privacy are mostly
about protection from hackers and insiders. In the cloud, however—public, community, hybrid, and sometimes even
private-- they are also affected by where data resides and the impact of local, regional, and national regulations on
the privacy of that data--an issue known as data sovereignty.
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Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
https://viralsocialtrends.com/vat-registration-outlined-in-uae/
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Attending a job Interview for B1 and B2 Englsih learnersErika906060
It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
ENTREPRENEURSHIP TRAINING.ppt for graduating class (1).ppt
12 Data Best Practices Slide Presentation (1).pptx
1. Data Best Practices
Tips for collecting and storing data so
that it remains useful, readable, and
portable.
2. What to collect?
- What you need.
- Information you are obligated to collect, by
necessity to supply services, or by law.
- What you will use.
- Data that is recalled and referred to by the
organization.
- What you can gather consistently.
- Information you can obtain and process easily.
3. Collect the data that you need.
The basics - common fields found in most data-related software
- Contact Information
- Donation Information, and any other Financial Transactions
The specifics – items fundamental to one org’s operations, services, and/or funding
- Custom fields have to be created
- Information required by grants
- Donor/donation information
- Constituent information
- Grant obligations
- Information used to provide services
Required to do business.
4. Collect the data you will use.
- What you will use directly:
- Contact information
- Attributes that allow for targeted messaging
- Reporting data relevant to the org’s mission:
- Data which describes the population you serve,
such as age, income bracket, or census tract.
- Specific metrics to quantify the work you do, ex:
employment status, or completion of a class.
- For a specific purpose.
- Data used to examine and evaluate your programs
- Data used to provide services
“Why do you need to know that?”
5. Collect data consistently.
Record data points that can be gathered easily and regularly.
Most stored data will change infrequently.
A regular system of collection and input must be in place.
- Planning. Work.
- Tech Tools.
Not only a matter of collecting, but inputting.
Adopt consistent styles and conventions that will be applied throughout the
database.
6. Collect data you can secure.
Common sense data security - Be a good steward of the personal and private
information you encounter.
- Password protect access to your data
- Use secure networks
- Lock up paper
- Comply with the law
- Certain personal information, such as SSN,
medical records, or financial account information,
is required to be kept confidential and secure
- Utilize permissions and access control settings
- Perform regular backups
7. Compound Fields
Some common data fields are composed of smaller pieces of data.
Hon. Teacup T. Samplehouse III, EdD
123 Main St Apt 506b
City, State 12345-6525
(516) 555-1234 x 83
What is stored separately vs. together depends on how
the data will be used.
If you’ll never use one piece without another,
Store the data together. Ex: Area Code + 7-digit Phone
Unless you will need to refer to one piece separately.
When in doubt, store the data in separate fields. It’s easier to combine than to separate.
Be practical and consistent.
8. Storing Names
Hon. Teacup T. Samplehouse III, EdD
Title
First Name
Middle Name (or Initial)
Last Name
Suffix
But also…
Nickname/Informal Name
Format for mailings
Format for public acknowledgement
- Where known, store full names. The first name is
“William,” the nickname is “Bill.”
- Different cultures have different naming conventions.
Try not to guess about what the middle name is. Where
possible, get clarification.
- Group double first and double last names together.
“Billy Ray” is 1 first name. “Lopez Alvarez” is 1 last name.
- Leading initials should be stored with the first name.
9. Spouses and Partners
Nobody’s first name is “Bob & Jan.”
Spouses and partners should have separate, linked records.
• In most cases, it’s a good idea to cultivate organization relationships with both
members of a couple.
• Relationship management software will have mechanisms to link two members of a
couple together.
• For spreadsheet/database users, include a reference field for one spouse’s unique
identifier on the other’s record.
Styles of address (envelope and informal greetings) can be customized to include both
names, but any given record must belong to 1 individual.
10. Unique Identifiers – One Per Person
A unique identifier is a piece of data that no other record has, which can be used to index
that data.
Ex: A row number, or a record number generated by software.
Unique identifiers are used to connect related records, as well as to encapsulate data
related to one person or organization. There are many software functions that depend on
the uniqueness of these identifiers. Systems can easily break if duplicates are found. Some
systems will not allow duplicates at all.
More accessible are the email and mobile phone fields.
- Avoid assigning an email address to more than one person. In cases where multiple
people do share an email, assign it to just one of them.
- Most software integrations expect that the email address will be a unique identifier.
Email addresses should be unique identifiers.
11. Address Formats and Conventions
An organization should establish its own “style-guide” for collecting data.
Items to consider:
Street Numbers and Directions: W 54 St vs. West 54th Street
- Do not drop the street type.
Abbreviations: When to use, how or if to punctuate
Address Line 2: Apartments, Suites, Units, #s
State: Abbreviate it
Zip: Some software cannot accommodate zip codes that aren’t exactly 5 numbers
12. Address Validation
Another free service of the USPS:
https://www.ups.com/address_validator/search?loc=en_US
Other APIs, including Google Maps, make use of CASS (Coding
Accuracy Support System) to validate addresses within software.
Organizations can also pay to validate their data in a batch process.
There are a number of CASS-Certified vendors, such as Smarty, or
Accuzip.
A vendor doing mailings for an organization should have an address
validation process.
13. Notes and Uncertainties
Create or utilize a data field designated for free-form notes about a record, and use it to
capture questions, uncertainties, or any data that doesn’t fit elsewhere.
Do not record questions, comments, or extraneous markings in any other field.
In a best case, you’ve recorded data that is useless.
In a worse case, it could cause an embarrassing or offensive error.
ex: “Dear Meagan/Meghan sp??,”
ex: “Mr. Robert (DECEASED 5/14/02) Smith (DECEASED 5/14/02)”
It is difficult to catch bad data when it is hidden in another field. All of the data validation
and checking and formatting rules are designed around expected values. Completely
unexpected values can evade common software checks, meaning the only way to catch
errors is manual review.
This is a case where an ounce of prevention is worth a pound of cure.
Whether you are using a CRM database, or your own spreadsheets, you are in control of what data you choose to collect, and how you store it. In this presentation, we will touch on
Some basic principles for approaching an organization’s data policy. Don’t be hung up on the idea that you need to gather every shred of data you can. Be realistic about what you will actually use, what people will supply, and what you can process. Avoid “write-only” documents.
Name, address, email, phone, transaction amount, tax deductible/receipt amount, method of payment, check number, and similar, are all “standard” fields. Any type of bookkeeping software or address book will ask these things.
Custom fields are the ones that you invent. Some software specifically made for nonprofits will come with semi-custom fields. Other times, you’ll need to create them. Software programs will usually have means to create custom fields, but this can also be as simple as naming the header in a spreadsheet. The important part is that you don’t rely on a program, or a person to identify what is necessary for your organization. Make a list of the data you need, and make a plan to collect it.
Avoid collecting data which you will never use. If someone asks “why do you need to know that?” the answer needs to be immediate and specific. If you’re not sure why you’re collecting certain data, maybe don’t. Collecting only relevant information about your constituents allows you to build trust.
Be judicious when deciding to record data that may not be easy to come by, and data that quickly become outdated.
Data needs to be stored securely as a matter of good governance. We need a restricted barrier to prevent access to data we store, whether that is a digital password, or a physical lock. If you are saving passwords on your device, make sure the devices locks, and is set to lock itself.
Do not access anyone’s private or personal data over open networks. Ensure you have appropriate security settings enabled on your devices.
Both KS and MO, as well as the federal US Government have laws requiring the secure and confidential treatment of certain kinds of data. Depending on the services a given organization offers, there may be higher standards of protection necessary than others. This is something to consider as you make decisions related to storing your data, or expanding your services.
Different systems have ways to limit access. Finally, protect data from loss or damage due to a technological disaster by setting up planned backups.
Common double-names Mary/Maria. Billy, Tommy.
Preserve the relationships in case the couples split. Engage both as volunteers or donors. Services may be relevant to both. “Cross-selling”