The Data Entry & Research Virtual Assistant That Handles the Tedious Stuff
Data entry, database and CRM cleanup, list building, and market or web research — including in foreign-language sources most VAs can't touch — done accurately so you can act on clean information.
- One dedicated bilingual assistant
- 5.0 average rating on Google reviews
- Backed by Taika's certified-translation team
What does a data entry and research virtual assistant do?
A data entry and research virtual assistant handles data entry, database and CRM cleanup, list building, and market, competitor, and web research. Taika's VAs can also research and enter data from foreign-language sources across 300+ languages — backed by a certified-translation company with 102,000+ projects since 2009 and a 5.0 Google rating.
Bad data and no research time cost you decisions
A messy CRM, half-built lists, and research you never get to mean missed follow-ups and decisions made on guesswork — and any information locked in a foreign language is invisible to an English-only team. A data & research VA fixes both.
Clean data and research, in any language
Taika VAs keep your databases clean and your research current, and can mine and translate foreign-language sources — a capability unique to a language company — through the same 15-year certified-translation team.
How it works
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Free consultation
We map your data sources, CRM, and the research you never get to.
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Meet your hand-picked match
A vetted, detail-oriented assistant trained on your tools, with a briefed backup.
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Clean data, real insight
Your VA keeps records clean and delivers research — including from foreign-language sources.
What you get
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Data entry & CRM cleanup
Accurate data entry, deduplication, and database/CRM hygiene so your records are dependable.
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List building
Prospect and contact lists built and enriched to feed sales and marketing.
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Multilingual research
Market, competitor, and web research — including foreign-language sources — translated into usable findings.
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Report compilation
Findings compiled into clean, decision-ready summaries and dashboards.
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The Perfect-Match Promise
Not the right fit in 14 days? Free re-match, used hours cost nothing. Second miss, month-one refund — keep every SOP.
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Dedicated + backup
A dedicated assistant, a briefed backup for continuity, and a named success manager.
A messy CRM, half-built lists, and research you never get to — plus anything locked in a foreign language your team can’t read — all add up to decisions made on guesswork.
A data entry & research virtual assistant from Taika keeps your records clean and your research current, and can mine and translate foreign-language sources through a certified-translation company since 2009 (102,000+ projects, 300+ languages, 5.0★). Get a free quote and meet your VA within a week or two.
What the role covers
Data work
- CRM and database entry, kept current rather than caught up.
- List building and enrichment against your criteria.
- Deduplication and cleanup — the project everyone knows is needed and nobody starts.
- Transcription from documents, scans, or PDFs into structured records.
- Migration between systems, with reconciliation afterwards.
- Recurring datasets maintained on a schedule.
Research work
- Prospect and market research against a defined brief.
- Competitor and pricing scans on a repeatable cadence.
- Supplier and vendor sourcing with comparable criteria.
- Contact verification, so your outbound list is not half bounces.
- Briefs compiled from sources you specify.
Both categories share a trait: they are the first work dropped when something urgent arrives, which is exactly why they are worth handing to someone whose job they are.
Define accuracy before the work starts
Most data projects fail at the brief, not the execution. Before anything is entered, state:
- The accuracy level required, honestly. Not everything needs to be perfect, and pretending it does makes everything slower.
- The fields that must never be wrong. Usually identifiers, amounts and dates. Those get verified against the source.
- The verification method — source-document checking, a second pass on a sample, or validation rules in the destination system.
Then agree the reporting: exceptions surfaced, not resolved by guesswork.
The rule that protects the dataset: flag, never fill
This is the most important thing on the page.
A missing or ambiguous value entered as a plausible guess is indistinguishable from real data, and it quietly corrupts every decision made from that dataset afterwards. You will not find it for a year, and when you do you will not know how much else is wrong.
So: ambiguous records go on an exceptions list. Review it. It will be long in week one and short by week three, which is exactly the pattern you want — the long first list is the assistant learning your data, not failing at it.
How to brief research so you get something useful
Research tasks fail when the requester knows what they want and does not say it. What comes back is forty pages of context instead of the eight data points that would have answered the question.
A brief that works has four parts:
- The decision the research is for.
- Acceptable sources — and unacceptable ones.
- The output format — a table with these columns, not “a summary.”
- An effort cap — so a rabbit hole gets reported rather than explored for two days.
One paragraph with a defined output beats a vague large request every time.
Delegate first, automate second
The honest answer to “should this be a person or a script?” is often both, in that order.
A recurring, perfectly rule-based task should eventually be automated, and we will tell you when yours is one. But you cannot automate a process you have not documented, and documentation is what the first weeks of this role produce anyway. Many businesses land on the right end state without planning it: the clean path runs automatically, and the assistant handles the exceptions that carry judgement.
Why bilingual matters in research
Foreign-language sources are a large, mostly unexamined blind spot in business research. Supplier directories, regulatory listings, local competitor pricing, trade registries and customer records frequently are not in English, and most research simply stops at that boundary.
Bilingual capability across 300+ languages at no language surcharge means the source does not have to be in English to be usable. Where a document has to be relied on formally, the same company provides certified translation.
Get a free quote, or see operations, administrative, and all virtual assistant services.
- 14-Day Perfect-Match Promise
- 5.0★ Google Rating
- Serving the World Since 2009
Who this is for
- Teams with messy CRMs and databases
- Sales/marketing needing built and enriched lists
- Businesses researching foreign or multilingual markets
- Companies drowning in manual data entry
- Anyone who never gets to the research
Credentials & registrations
- Certified Translation Included
- 14-Day Perfect-Match Promise
- Serving the World Since 2009
- 5.0★ Google Rating
Frequently Asked Questions
What does a data entry and research virtual assistant do?
Data entry, database and CRM cleanup, deduplication, list building and enrichment, and market/competitor/web research compiled into decision-ready summaries. Taika's VAs can also research and translate foreign-language sources across 300+ languages.
Can the assistant research in other languages?
Yes — a capability unique to a language company. We mine foreign-language sources and translate the findings into usable English.
How fast can I start?
You'll meet matched candidates typically within a week or two of your free consultation.
What kinds of data entry and research does the role cover?
On the data side: CRM and database entry, list building and enrichment, deduplication and cleanup, transcribing from documents or scans, migrating records between systems, and maintaining recurring datasets. On the research side: prospect and market research, competitor and pricing scans, supplier and vendor sourcing, contact verification, and compiling briefs from sources you specify. Both are the work most likely to be done badly in-house, because they are the first things dropped when something urgent arrives.
How is accuracy actually assured?
By defining it before the work starts, which most buyers skip. State the required accuracy level, the fields that must never be wrong, and the verification method - source-document checking, a second pass on a sample, or validation rules in the destination system. Then have the assistant report exceptions rather than guessing at ambiguous records. An unresolved record flagged is useful; an unresolved record guessed is corruption you will not find for a year.
What happens with ambiguous or incomplete records?
They get flagged, not filled in. This is the single most important rule in a data project. A missing value entered as a plausible guess looks identical to real data and quietly breaks every decision made from that dataset afterwards. Set up an exceptions list from day one and review it - it will be long in week one and short by week three, which is exactly the pattern you want.
How do we brief a research task so we get something useful?
Say what decision the research is for, name the acceptable sources, define the output format, and cap the effort. Research briefs fail when the requester knows what they want and does not say it - so the assistant returns forty pages of context instead of the eight data points that would have answered the question. A one-paragraph brief with a defined output beats a vague large request every time.
Can the assistant research and enter data in other languages?
Yes, and that is unusually valuable in this role. Foreign-language sources, supplier directories, regulatory listings and customer records are a large blind spot for most research and data work, and bilingual capability across 300+ languages means the source does not have to be in English to be usable. Where a document has to be relied on formally, the same company provides certified translation.
Is this work worth delegating, or should we automate it?
Often both, in that order. The honest answer is that a recurring, perfectly rule-based task should eventually be automated, and we will say so - but you cannot automate a process you have not documented, and documentation is what the first weeks of this role produce. Many businesses find the right end state is an assistant handling the judgement-carrying exceptions while the clean path runs automatically.
Ready when you are
Prefer to talk? Call +1 830-355-2205 or +1 865-258-7903, quotes returned same business day.
Reviewed by Margarita Ehlinger, Chief Project Manager — updated