# CRM Implementation – Definition, FAQs & How Dedupely Helps > CRM implementation explained: how to set up objects, fields, data standards, the first import and duplicate rules so a new CRM starts and stays clean. - URL: https://dedupe.ly/glossary/crm-implementation - Section: glossary - Site index: https://dedupe.ly/llms.txt - Any page: append `.md` to its URL for this plain-text form --- [Glossary](https://dedupe.ly/glossary) CRM Implementation ## CRM Implementation CRM implementation is the process of setting up a new CRM so it fits how a business sells, markets and supports its customers, from the first configuration to the day the team starts working in it. It covers the structure of the data (objects, fields and required fields), the standards for entering values, the plan for the first import, the rules that catch duplicates, and who owns the system once it's live. Many of the data problems a CRM has later go back to choices made, or skipped, during setup. A field with no format standard fills up with phone numbers written several ways. An import with no duplicate check brings the same customer in twice. A CRM with no owner drifts as each team adds its own fields. Setting these things up before launch is far easier than fixing them once thousands of records, reports and workflows depend on them. See how Dedupely catches duplicates from day one in your CRM [Try for free](https://v2.app.dedupe.ly/signup) [Talk to sales](https://meetings.dedupe.ly/meetings/gaby-salinas/talk-to-sales) Overview CRM implementation is the work of setting up a new CRM before a team relies on it: its objects and fields, required fields, data standards, first import, duplicate rules and owner. These early choices decide how clean the data is from launch onward. On this page - What Is CRM Implementation? - How CRM Implementation Works - Why CRM Implementation Matters for CRM Teams - Getting Started With CRM Implementation - Key Takeaways: CRM Implementation - Frequently Asked Questions About CRM Implementation - Related Terms and Concepts See how Dedupely catches duplicates from day one in your CRM [Try for free](https://v2.app.dedupe.ly/signup) [Talk to sales](https://meetings.dedupe.ly/meetings/gaby-salinas/talk-to-sales) ### What Is CRM Implementation? CRM implementation is everything a team decides and builds between choosing a CRM and using it every day. Part of it is about processes, such as how leads move through stages and how deals are handed off. A large part is about data: what the CRM stores, in what shape, and how it stays accurate as records arrive. The data side starts with objects and fields. Every CRM organizes records into objects, such as contacts, companies and deals in HubSpot; accounts, contacts and leads in Salesforce; people and organizations in Pipedrive; and leads and opportunities in Close. For each object, the team decides which fields exist, which are required, which use set picklist values, and which field identifies a record, such as an email address for a contact or a website domain for a company. Standards matter as much as structure. Without a naming standard, one rep saves "Acme Inc" with the website acme.com, and another saves "ACME Incorporated" with www.acme.com. The CRM now holds two companies for one customer, each with half of its contacts and deals. Agreeing in advance on how names, phone numbers and addresses are written, and which fields mark a duplicate, keeps that from happening. Teams roll out a CRM in different ways. A phased rollout launches one team or object at a time, which keeps each step small and lets problems surface early. A full launch moves everyone at once, which avoids running two systems side by side. Some teams implement in-house, keeping the knowledge inside the company, and others work with an implementation partner who brings experience from other setups. Resources: - [What is a duplicate?](https://dedupe.ly/blog/what-is-a-duplicate) ### How CRM Implementation Works A CRM implementation moves from planning to launch in a series of steps. The order varies, but the data steps tend to follow this path. - **Define what the CRM is for.** List the processes it supports, the reports the business needs and the teams that will use it. Those needs decide which data has to be captured. - **Design the data model.** Choose the objects, the fields on each one, the required fields and the picklist values, and decide how objects link, such as contacts to companies and deals to both. - **Set data standards.** Agree on formats for names, phone numbers, addresses and country fields, and write them down so every rep and every integration follows them. - **Set duplicate rules.** Decide, for each object, which fields identify the same record and what happens when a match is found: flag it, merge it or send it to a person to check. - **Plan and run the first import.** Gather the source files, clean them, map their columns to CRM fields, import a small sample, check it in the CRM, then import the rest. - **Connect forms and integrations.** Each new entry point creates records, so each one is checked against the standards and duplicate rules before it goes live. - **Assign ownership and launch.** Name who maintains fields, imports, integrations and duplicate rules, then train the team and switch over. Launch isn't the end. The first weeks of real use show which rules are too loose and which fields nobody fills in, so the setup is adjusted while the data is still small. Resources: - [How to Approach CRM Deduplication](https://dedupe.ly/knowledge-base/how-to-approach-crm-deduplication) (KB) ### Why CRM Implementation Matters for CRM Teams The setup decides how trustworthy the data is from the first day. When every record follows the same fields and formats, reports count each customer once, routing sends each lead to the right rep, and segments pull the records they're meant to. When the setup is loose, the same customer can arrive through an import, a form and a sales tool as three records, and every report built on them counts three. A clean start also costs less. Data entered inconsistently from the beginning has to be found and fixed later, often after reports, workflows and integrations already depend on it. A duplicate merged in the first week touches a few records. The same duplicate found a year later may sit under months of activity, emails and deals split across both records. Tools billed by contact or record count charge for each of those duplicates in the meantime. Day to day, a well-set-up CRM keeps the work simple. Reps find one record per customer instead of guessing between two, marketing doesn't send the same email twice to one person, and support sees the full history in one place. Clear ownership means someone is responsible when a new field, form or integration is added, so the standards set at launch still hold months later. Resources: - [Why your CRM database is turning into a mess (and how to fix it)](https://dedupe.ly/blog/why-your-crm-database-is-turning-into-a-mess) ### Getting Started With CRM Implementation Start with the data you're bringing in. Gather every file and list that will go into the new CRM, such as old spreadsheets, event lists and exports from other tools, and look for the same person or company appearing in more than one of them. Merge those duplicates and remove placeholder values before anything is imported, because a clean first import is the easiest cleanup a CRM will ever get. Write the standards and duplicate rules before the first record goes in. Decide which fields identify a contact, a company and a deal, how names and phone numbers are written, and which values win when two records are merged. Rules set now apply from the first import onward, instead of being added once the data is mixed. Plan for the records that arrive after launch. Forms, integrations and reps will create new records every day, and built-in tools often check only a few fields. Decide how new duplicates are found and how quickly they're merged, run the checks on a schedule, and name the person who reviews the uncertain ones. In Dedupely, you can upload each file for the first import as a CSV, find and merge its duplicates with the same Duplicate Searches used on CRM records, and export the clean data to import. Once the CRM is connected, Auto Match and Auto Merge keep the searches you trust running, with new records detected within 1–5 minutes and Auto Merge able to run as soon as possible. Resources: - [Merge duplicates in spreadsheets](https://dedupe.ly/knowledge-base/connect-csv) (KB) - [Duplicate Searches](https://dedupe.ly/knowledge-base/search-pads) (KB) ### Key Takeaways: CRM Implementation CRM implementation is the work of setting up a new CRM before the team relies on it: the objects and fields, the required fields, the data standards, the first import, the duplicate rules and the ownership. These choices decide how accurate the data is from the first day, and they're far easier to make before launch than to fix after. A clean first import and duplicate rules that run from the start keep new duplicates few. Dedupely cleans the first import files as CSVs with Duplicate Searches, Merge Rules decide what each merge keeps, and Auto Match and Auto Merge keep trusted searches running on the records that arrive after launch. Resources: - [Dedupely product overview](https://dedupe.ly/product) ### Frequently Asked Questions About CRM Implementation #### What data should you clean before going live with a new CRM? Clean every file you plan to import, with duplicates first. Lists gathered from several sources, such as old spreadsheets, event signups and exports from other tools, often hold the same person or company more than once, sometimes with a different spelling or email. Merge those before the import, so the new CRM starts with one record per customer. Then remove placeholder values like "N/A" or "test@test.com," bring phone numbers, names and country values into one format, and drop records that are clearly outdated. Check that the columns line up with the fields you designed, so nothing lands in the wrong place. In Dedupely, you can upload each file as a CSV and find its duplicates with the same Duplicate Searches used on CRM records, because matching works the same way for both. A CSV is matched only against itself, several files can be combined if their headers match, and the clean data can be exported for the import. #### When should you set up duplicate rules in a CRM implementation? Set them up before the first import and before any form or integration goes live. Duplicate rules decide which fields identify the same record, and if they arrive after the data, the first import and the first weeks of form fills have already brought duplicates in. Write a rule for each object, because what makes two companies the same, such as a website domain, isn't what makes two contacts the same, such as an email address. Built-in duplicate checks differ from one CRM to another in which fields they check, so confirm what yours covers and plan for the rest. In Dedupely, preset Duplicate Searches for common field combinations are ready the first time you log in, and you can clone a search to try new criteria without changing the active one. Connecting or syncing never merges anything, and once the CRM is connected, new records are detected within 1–5 minutes. #### How do you plan the first data import into a new CRM? Plan it object by object, and import a small sample before the rest. List every source file, decide which object each one feeds, and map each column to a field in the new data model. It often helps to import companies before the contacts and deals that link to them, so the links can be made as records arrive. Clean and deduplicate the files before the import, including across files, because the same customer often appears in more than one list. Then import a sample, open the records in the CRM and check the fields, formats and links before importing the remainder. Keep the original files, so a value can be traced if something looks wrong later. In Dedupely, you can upload the files as CSVs and combine several of them when their headers match, so duplicates across lists show up in one search. Matching works the same way as on CRM records, and the clean data can be exported for the import. #### What's the difference between CRM implementation and CRM migration? CRM implementation sets up how a CRM is structured and run, and CRM migration moves existing data into it from another system. Implementation covers the objects, fields, data standards, duplicate rules and ownership, and it happens with every new CRM, even one that starts from spreadsheets. Migration covers understanding the old system, cleaning and mapping its data, moving it, and keeping it clean afterward. When a business switches CRMs, both happen together: the new structure is designed during implementation, and migration fills it. Doing the implementation work first gives the migrated data clear fields and formats to land in, and cleaning before the move keeps old duplicates out of the new system. In Dedupely, the same Duplicate Searches work on a CSV export before the move and on the new CRM once it's connected. Merge Rules decide what each merge keeps, and Merge History records every merge with the original values. #### Who should own the CRM after launch? One named person or team should own it, often a CRM admin or an operations role, with clear backups. Ownership covers the parts that change the data: adding or removing fields, approving imports, connecting new integrations, maintaining duplicate rules and checking that the standards set at launch still hold. Without an owner, each team adds what it needs, and fields, formats and duplicates drift apart. Some teams also give each department a contact who flags data problems to the owner. A short review on a schedule, such as checking new fields and the latest duplicate counts, keeps small problems from growing. In Dedupely, there are two roles: Admins handle everything, including Company Settings, and only they invite users or change roles. The Audit Log, visible to admins, records merges, scans and Duplicate Search changes, and each person can receive a weekly or monthly Duplicate Report. ### Related Terms and Concepts #### [CRM migration](https://dedupe.ly/glossary/crm-migration) CRM migration moves data from an old system into a new CRM. It often runs alongside implementation, which designs the fields and standards the migrated data lands in. #### [CRM import](https://dedupe.ly/glossary/crm-import) A CRM import brings records in from files. The first import is one of the riskiest steps of an implementation, because duplicates in the files become duplicates in the CRM. #### [Spreadsheet deduplication](https://dedupe.ly/glossary/spreadsheet-deduplication) Spreadsheet deduplication removes duplicates from a file before it reaches the CRM. It's how a team gives a new CRM a clean first import. #### [Duplicate prevention](https://dedupe.ly/glossary/duplicate-prevention) Duplicate prevention stops new duplicates as records arrive. An implementation sets up the rules it relies on, so they work from the first form fill. #### [CRM data governance](https://dedupe.ly/glossary/crm-data-governance) CRM data governance sets the rules and ownership for CRM data. Implementation is where those rules are first written and an owner is named. #### [Merge rules](https://dedupe.ly/glossary/merge-rules) Merge rules decide which values survive when duplicates are merged. Setting them during implementation means the first merges already keep the right data. Skip to content