Tag: Salesforce admin tools

  • Product managers don’t control the product — we can only aspire to intervene

    Product managers don’t control the product — we can only aspire to intervene


    I never set out to study architecture engineering. I stumbled into architecture almost by accident. But once I was there, I was hooked.

    It was the perfect intersection of engineering and art. I can still see my professor at the chalkboard sketching a design in seconds, narrating an architectural style as if he were pulling it straight out of thin air.

    Architecture wasn’t just about lines on paper. In materials engineering, I learned how the right choices could balance insulation, sustainability, and aesthetics. In structural engineering, I discovered the art of the possible: Would this design hold? Could it withstand a flood or an earthquake?

    I felt found.

    But life had other plans. I had to switch colleges (that story for another day), and the new one didn’t offer architecture. So, I enrolled in computer engineering instead. Studying programming, data structures, databases, software engineering — the whole enchilada.

    From there, my career journey carried me from writing backend code, to delivering customizations in professional services, and ultimately to product management — my home for the past two decades. I fell in love with the craft of product management, but my fascination with architecture never disappeared; it lingered quietly in the background.

    YES IS MORE

    Recently, while trying to clear my head before diving into my latest project — DataIAm (the app and the website) — I picked up a book by Danish architect Bjarke Ingels, titled YES IS MORE. I thought it would be an escape, something unrelated to work. Turns out, it was the opposite: an architecture book that spoke directly to my product management soul.

    One page stopped me in my tracks:

    “Architecture is never triggered by a single event, never conceived by a single mind, and never shaped by a single hand…. We architects don’t control the city — we can only aspire to intervene.”

    I read it once as an admirer of architecture. Then I read it again as a product manager. And I realized: the same is true of products.

    Slightly reworded, it could have read:

    A product is never triggered by a single event, never conceived by a single mind, and never shaped by a single hand…. We product managers don’t control the product — we can only aspire to intervene.”

    That hit me.

    The Architecture of Products

    In architecture, you balance the technical (Will the structure hold up?) with the artistic (Will people feel inspired, connected, at home here?).

    Product management, it turns out, is no different. It’s half engineering and half art. It’s about building consensus — not by simply creating what everyone already agrees on, but by bridging the gap between what people like, what they want, what they think they need, and what they’ll only realize they love once they have it.

    Over the last two decades, I’ve had the privilege of designing and launching many products. But as I was shaping DataIAm, the philosophy of YES IS MORE gave me a new lens. Had I not read that book, the design and build of DataIAm app and website would have looked very different. What seemed like an “unrelated” book turned out to be deeply related, reinforcing that products — like buildings — are about creating spaces where people belong, thrive, and say: “This is exactly what I didn’t know I needed.”

    YES IS MORE (than architecture)

    Bjarke Ingels titled his book YES IS MORE as a playful response to Mies van der Rohe’s mantra “Less Is More” — a phrase we product managers often find ourselves saying, too.

    But in product management, YES IS MORE isn’t about saying yes to everything. It’s about saying yes to bold ideas — the ones that connect engineering with art, push boundaries while pulling people in.

    That’s why I’ve come to believe:

    Software product managers are just building architects in disguise.

    We may not shape skylines, but we shape the digital spaces where people live parts of their lives. And just like great architecture, the best products don’t just meet needs — they surprise us with a sense of belonging we didn’t know we were missing.


    To learn more about DataIAm visit: https://dataiam.com

    Zeb Mahmood

    Zeb Mahmood Co-Founder & CEO DataIAm

  • Case of missing Record IDs

    Case of missing Record IDs

    If you’ve ever been asked to mass update Salesforce records, you’ve likely run into The Record ID Problem.

    It goes like this:

    • A business team sends you a spreadsheet full of updated Salesforce data
    • You’re the Salesforce Admin or Analyst expected to upload it
    • But the spreadsheet? It doesn’t have Record IDs—and Salesforce Bulk API requires them for updates

    Why Spreadsheets Are Often Missing Record IDs

    People love working in Excel or Google Sheets. It’s fast, flexible, and familiar.

    Here’s a real-world example:

    A Marketing Manager downloads lead records from Salesforce, enriches them with firmographic data from a third-party source, and sends you the updated spreadsheet. Now they want you to push those updates back to Salesforce.

    But there’s a problem: the Record IDs are missing.

    To fix this, most Salesforce Admins have to:

    • Export the Lead object from Salesforce, including Record IDs
    • Manually insert the retrieved IDs into the original file i.e. use Excel’s VLOOKUP to match on a unique field like Email or Cell Phone

    This problem is so common that Salesforce Support even published a video tutorial: How to Prepare Your CSV File Using Vlookup in Excel

    How DataIAm Solves It

    Let’s say you get a spreadsheet from Marketing with updated Lead data—but no Record IDs.

    Here’s what happens in DataIAm, our AI-powered Fix & Load tool:

    1. Create an Update job and upload the spreadsheet 
    2. DataIAm’s AI auto-detects the target object e.g., Lead
    3. Next, choose an option:
      • “CSV has IDs” , or
      • “Fetch IDs from Salesforce”
    4. If you choose to fetch IDs, simply select a match column (e.g., Cell Phone), and DataIAm will retrieve and insert the corresponding Record IDs directly into your file.

    During the match process, DataIAm flags:

    • Multiple ID rows – where the match column returns more than one record in Salesforce
    • Missing ID rows – where no matching record is found

    Then you simply run the job. Done. ✅

    Optionally, DataIAm lets you:

    • “Preview Record IDs” and download the enriched “CSV with IDs”.
    • “Download problem rows” file with multiple or missing IDs for further review.
    • On the “Data Fixes” screen, AI automatically identifies and corrects common issues. For example: If a column like Revenue contains non-numeric formats (e.g., "$100M" or "USD20,000"), they are normalized to standard numeric values (100000000.00 and 20000.00).

    Isn’t that magical! R.I.P., Excel VLOOKUP!


    TL;DR

    Salesforce Bulk API requires Record IDs to update records. But spreadsheets from business users often don’t include them. DataIAm fixes that—automagically.

    ✅ Fetches missing Record IDs
    ✅ Cleans messy spreadsheets before loading
    ✅ Handles edge cases e.g., rows that match multiple IDs


    Try It Free

    👉 dataiam.com
    📩 Or email our co-founder Zeb at TryNewThings@dataiam.com for a live walkthrough.


    About the Author

    Zeb Mahmood has spent his career unlocking business value by moving, fixing, and loading data—first as an engineer, then as a product leader, and now as a cofounder.

    With 2 decades in product management, 9 years at Salesforce, and hands-on experience in early-stage startups, he’s learned a simple truth: data is the lifeblood of every business. But when it’s messy or trapped in spreadsheets, it can’t drive impact.

    That’s why Zeb cofounded DataIAm — a Fix & Load AI built for Salesforce Admins and data handlers who just want their data to work. No frustration. No failed imports. Just clean, reliable data that loads seamlessly into Salesforce and delivers results.

    Zeb believes great products don’t win on tech alone — they win through empathy. Empathy for users, buyers, partners, and the people building the product every day.

    Zeb Mahmood

    Zeb Mahmood Co-Founder & CEO DataIAm

  • Now querying: Related objects

    Now querying: Related objects

    Let’s be honest—querying related objects in Salesforce isn’t exactly fun.

    If you’ve ever tried pulling a report of Opportunities along with Account names and the Owners’ aliases, you’ve probably ended up with multiple browser tabs open for SOQL dot notation help, a couple of manual VLOOKUPs, and maybe even a silent prayer.

    We’ve been there. So we made it better.

    We’re thrilled to announce a major upgrade to our Extract functionality (a.k.a. Salesforce Query Builder) in DataIAm:

    You can now query related objects in Salesforce—with just a few clicks!

    What Are Related Objects in Salesforce?

    Salesforce data is stored in a web of related objects—like linked database tables. A few examples:

    • A Contact belongs to an Account
    • An Opportunity is tied to both an Account and an Owner
    • A Case links to a Contact and an Account

    Also see: Object Relationships Overview by Salesforce


    How to Query Related Objects with DataIAm

    Until now, if you wanted to export data with related fields, you had to export one object at a time, merge them in Excel using VLOOKUP, and hope nothing breaks.

    But now you can: choose your base object, then select related fields across related objects—visually and with zero SOQL (yes, no guessing the dot-notation syntax).

    ✅ Select any standard or custom Salesforce object
    ✅ Browse related objects and pick the fields you want
    ✅ Preview your result set before full extraction

    It’s clean, intuitive, and designed for Salesforce admins, analysts, and consultants who just want the data—without the SOQL and spreadsheet drama.

    ⚠️ Like native SOQL and most third-party tools, you can go up the relationship chain — from child to parent (e.g., Opportunity → Account → Owner). However, you can’t yet go down (e.g., Account → all Contacts). We’re working on a way to support that for you — even though SOQL itself doesn’t natively allow it.


    Example: Query Related Salesforce Data

    Let’s say your manager asks for a list of open Opportunities that includes:

    • Opportunity Name
    • Account Name
    • Owner’s Alias

    In DataIAm, just:

    1. Select the Opportunity object and the Name field
    2. From Related Objects:
      • Choose Account → Name
      • Choose Owner → Alias
    3. See the auto-generated SOQL:
      SELECT Name, Account.Name, Owner.Alias FROM Opportunity
    4. Preview result set → Run job → Done!

    Also see the blog post: Visual Query Builder


    Modern DataIAm vs. Clunky Old Data Loaders

    With this latest enhancement, DataIAm is now more functionally capable than any leading data loader in the market. (Not bragging — just stating the facts.)

    Unlike traditional tools, DataIAm includes smart, AI-powered capabilities like:

    ✅ Flagging and fixing invalid picklist values
    ✅ Fetching missing Record IDs
    ✅ Correcting inconsistent data formats
    ✅ Previewing (and downloading) cleaned data before loading

    Want to see how DataIAm compares to Salesforce Data Loader (desktop) and MuleSoft dataloader.io? Check out our side-by-side feature comparison — a.k.a. the “truth table” — right here: https://dataiam.com/#data-loaders-side-by-side 


    TL;DR

    You can now query related objects in Salesforce using the DataIAm SOQL Query Builder—a visual, no-code way to quickly extract Salesforce data from related objects.

    No SOQL scribbling → SOQL with dot notation is generated for you

    No VLOOKUP dance → Select related fields visually

    No trial-and-error guessing → Preview the result set before exporting


    Try it FREE at: dataiam.com
    Or email our co-founder, Zeb, at TryNewThings@dataiam.com for a live walkthrough.
    We’d love to hear your use case!


    About the Author

    Zeb Mahmood has spent his career unlocking business value by moving, fixing, and loading data—first as an engineer, then as a product leader, and now as a cofounder.

    With 2 decades in product management, 9 years at Salesforce, and hands-on experience in early-stage startups, he’s learned a simple truth: data is the lifeblood of every business. But when it’s messy or trapped in spreadsheets, it can’t drive impact.

    That’s why Zeb cofounded DataIAm — a Fix & Load AI built for Salesforce Admins and data handlers who just want their data to work. No frustration. No failed imports. Just clean, reliable data that loads seamlessly into Salesforce and delivers results.

    Zeb believes great products don’t win on tech alone — they win through empathy. Empathy for users, buyers, partners, and the people building the product every day.

    Zeb Mahmood

    Zeb Mahmood Co-Founder & CEO DataIAm

  • Visual data cleaning

    Visual data cleaning

    Don’t just imagine how your data will look after you apply fixes. See it — before you load.

    If you’ve used any Salesforce data loader — whether it’s Salesforce’s own tools (like Salesforce Data Loader or MuleSoft dataloader.io) or third-party options like Informatica or Jitterbit — you know the routine: upload a CSV, map fields, apply data transforms, hit load, and hope everything works.

    What’s missing? Visibility. These tools don’t show you how your data will actually look after data transforms are applied. 

    That’s where visual data fixes come in — only from DataIAm.

    What Makes It Visual?

    The magic happens on the Data Fixes screen.

    After you upload your spreadsheet or CSV, DataIAm does a column-by-column health check. You see how many values are valid, and which ones need fixing. For the invalid ones, AI steps in to help — suggesting fixes (aka data transforms) that are specific to your Salesforce org’s schema; including custom fields and objects.

    Examples of AI-suggested fixes include:

    • Converting invalid picklist values
    • Standardizing phone numbers
    • Fetching missing Record IDs for update jobs

    And here’s the best part, the visuals: you see the data change right in front of you — before anything is sent to Salesforce. No guesswork. No risky trial runs. Just clarity.

    You can toggle between “Original data” and “Preview of fixes” tabs to compare before-and-after values. You can even download the cleaned file before you move forward.

    It’s a What You See Is What You Get (WYSIWYG) approach to Salesforce data — finally.

    More Than a Data Loader

    Even if visual data fixes were all we offered, it would make DataIAm worth using. But there’s much more under the hood:

    • Insert, update, upsert, delete, and extract jobs
    • AI-powered field mapping — even when your spreadsheet has no headers
    • Visual SOQL query builder with result-set preview
    • Smart V-Lookup (coming soon!) — think VLOOKUP function of spreadsheets, but purpose-built for Salesforce data loading use cases

    Try It Free

    Experience a new way to fix and load Salesforce data.  Sign up for free

    Have suggestions? Something you’d love to see? Email us at TryNewThings@dataiam.com


    Keywords: #SalesforceDataLoader #SalesforceAdmin #VisualDataFixes #DataQuality #DataCleaning


    About the Author

    Zeb Mahmood has spent his career unlocking business value by moving, fixing, and loading data—first as an engineer, then as a product leader, and now as a cofounder.

    With 2 decades in product management, 9 years at Salesforce, and hands-on experience in early-stage startups, he’s learned a simple truth: data is the lifeblood of every business. But when it’s messy or trapped in spreadsheets, it can’t drive impact.

    That’s why Zeb cofounded DataIAm — a Fix & Load AI built for Salesforce Admins and data handlers who just want their data to work. No frustration. No failed imports. Just clean, reliable data that loads seamlessly into Salesforce and delivers results.

    Zeb believes great products don’t win on tech alone — they win through empathy. Empathy for users, buyers, partners, and the people building the product every day.

    Zeb Mahmood

    Zeb Mahmood Co-Founder & CEO DataIAm

  • SOQL Query Builder

    SOQL Query Builder

    Salesforce users have long sought easier ways to build Salesforce Object Query Language (SOQL) queries. Feature requests like this IdeaExchange post highlight the demand for a query builder that’s more usable and intuitive.

    While Salesforce does offer tools like the Query Editor, they come with several limitations:

    • Limited or no support for browsing custom objects or fields
    • No visibility into field data types or relevant operators
    • Limited or no support for related objects
    • No generation of date literals for date/datetime fields

    DataIAm addresses these gaps with a visual SOQL query builder, available at app.dataiam.com.

    Generate SOQL Queries with Confidence

    Query Builder

    DataIAm offers a visual query builder designed for Salesforce admins and business users who want to build valid, reliable SOQL queries—without handwriting SOQL.

    Key Capabilities

    Browse standard and custom objects

    Explore objects and fields—both standard and custom—through a clean, point-and-click interface.

    Data type–aware filtering

    Only relevant operators are shown based on each field’s data type. For example:

    • =, <, > for numeric fields
    • CONTAINS, STARTS WITH, ENDS WITH for text fields

    Date literal support

    For date fields like LastModifiedDate, the builder presents Salesforce-supported date literals such as YESTERDAY, LAST WEEK, LAST QUARTER, and more—removing the need to look up syntax.

    Relationship navigation

    Easily access fields from related objects (e.g., pulling Contact fields while querying Account records).

    Syntax validation

    Perform client-side SOQL syntax validation before submitting the query to Salesforce; avoid unnecessary API errors or quota waste.

    Data preview

    Preview the result set before executing the full query.

    Part of a Feature-Rich Data Loader

    The query builder is part of the broader DataIAm platform, which also includes:

    • Insert, update, upsert, and delete operations (lookup coming soon)
    • AI-powered field mapping between CSV columns and Salesforce fields
    • CSV file restructuring to enable 1-to-1 column-to-field mappings
    • Automated data fixes for invalid picklist values, missing Record IDs, and formatting errors

    Together, these capabilities allow non-engineers (e.g. Salesforce administrators) to handle complex data loads and extracts—filling important functionality gaps left by native Salesforce Data Loader and many third-party tools.

    Try It and Tell Us What You Think

    DataIAm is continuously evolving based on user feedback. Have suggestions or feature requests? Reach out at TryNewThings@dataiam.com.

    To try the query builder, sign up for free access →


    About the Author

    Zeb Mahmood has spent his career unlocking business value by moving, fixing, and loading data—first as an engineer, then as a product leader, and now as a cofounder.

    With 2 decades in product management, 9 years at Salesforce, and hands-on experience in early-stage startups, he’s learned a simple truth: data is the lifeblood of every business. But when it’s messy or trapped in spreadsheets, it can’t drive impact.

    That’s why Zeb cofounded DataIAm — a Fix & Load AI built for Salesforce Admins and data handlers who just want their data to work. No frustration. No failed imports. Just clean, reliable data that loads seamlessly into Salesforce and delivers results.

    Zeb believes great products don’t win on tech alone — they win through empathy. Empathy for users, buyers, partners, and the people building the product every day.

    Zeb Mahmood

    Zeb Mahmood Co-Founder & CEO DataIAm

  • Invalid picklist values hurt your business

    Invalid picklist values hurt your business

    If you’ve ever stared at a Salesforce report and thought, “That can’t be right,” you’re not alone. Thousands of Salesforce admins have experienced the same frustration—and more often than not, the culprit is a picklist field gone rogue.

    Let’s dig in.

    What Are Picklists in Salesforce?

    Picklist fields in Salesforce help ensure data integrity by limiting values to a predefined list—like a dropdown menu in the UI. Simple enough.

    But here’s the twist: picklists can be restricted or not.

    • Restricted picklists only allow values that are explicitly defined. Anything else triggers an error.
    • Not restricted picklists (the default) accept any value—even if it’s not in the list. Wait, what?!

    Most Salesforce orgs do not use restricted picklists. And that’s where the trouble begins.

    The Hidden Mess Behind Data Loads

    When data is inserted or updated in Salesforce using tools like Salesforce Data Loader, MuleSoft’s dataloader.io, or Bulk API, Salesforce doesn’t validate picklist values—unless the field is set as restricted.

    That means typos, invalid entries, and trailing spaces can slip through and land in your org. 

    Result? Data chaos.

    Over 540 Salesforce customers voiced their frustration about this on Salesforce Idea Exchange. One reported over 2,500 invalid picklist values inserted via an integration! Another deleted 156 bad values—only to see 50 reappear weeks later.

    “Our org has thousands of inactive values that appear to have been inserted via an integration API.”A Salesforce Customer

    Why It’s a Big Deal

    Imagine you’re generating a report on the picklist field Lead Status, filtering for ‘Converted.’ If Lead Status has been populated with values like ‘Closed’ or ‘Won!’, those leads won’t appear in the report.

    That means your reports are wrong—and your business decisions could be too.

    Cleaning it all up after the fact? Painful. One CIO told us it took 9 months to clean up bad data before the business could trust its reports again.

    Enter DataIAm: The AI-Powered Data Loader for Salesforce

    Unlike traditional loaders, DataIAm prevents bad data from entering Salesforce in the first place. When you upload a file:

    • We check all picklist fields—restricted or not
    • We flag invalid values
    • We help you convert them to allowed values

    Say goodbye to ‘Won!’ and ‘Closed’—we help convert them to the correct ‘Converted’ before they ever touch your Salesforce org.

    Fixing at the Source Beats Cleaning Later

    It’s easier, cheaper, and far more effective to catch issues at the point of entry. With DataIAm, your Salesforce stays clean, your reports stay accurate, and your admins stay sane.

    Oh, and by the way; DataIAm does everything other loaders do—update, insert, upsert, delete, export, field mapping. But we go beyond just loading—we fix your data before it’s loaded.

    Get your data Salesforce-ready; before loading.

    Ready to try it?
    👉 Sign up for free access today

    About the Author

    Zeb Mahmood has spent his career unlocking business value by moving, fixing, and loading data—first as an engineer, then as a product leader, and now as a cofounder.

    With 2 decades in product management, 9 years at Salesforce, and hands-on experience in early-stage startups, he’s learned a simple truth: data is the lifeblood of every business. But when it’s messy or trapped in spreadsheets, it can’t drive impact.

    That’s why Zeb cofounded DataIAm — a Fix & Load AI built for Salesforce Admins and data handlers who just want their data to work. No frustration. No failed imports. Just clean, reliable data that loads seamlessly into Salesforce and delivers results.

    Zeb believes great products don’t win on tech alone — they win through empathy. Empathy for users, buyers, partners, and the people building the product every day.

    Zeb Mahmood

    Zeb Mahmood Co-Founder & CEO DataIAm

  • DataIAm — Product roadmap

    DataIAm — Product roadmap

    Since launching DataIAm, we’ve focused on doing one thing really well: loading data into Salesforce with confidence. We’ve helped users move faster and trust their data more — with zero code.

    What’s Available Today

    DataIAm already offers a robust set of features that empower users to fix and load data with ease:

    • Insert, update, upsert, and delete records in Salesforce (Sales Cloud, Service Cloud, and all Salesforce platform clouds)
    • Extract data using our visual SOQL query builder, including support for related objects
    • Fix invalid data with just a few clicks — including picklist mismatches and formatting errors
    • Update records even when Record IDs are missing

    What’s on the Roadmap

    We’re excited to share what’s on our roadmap. We’re building the most effortless, yet powerful data loader for Salesforce. The roadmap reflects the voice-of-the-customer and our own innovation ideas. Items are not listed in order of priority.

    • Conversational UI: Just chat with your data loader e.g., “Load this file over the weekend”
    • Self-Healing Mappings: Automatically fix outdated or broken field mappings
    • Usage Metrics: Track numbers of product usage e.g., records fixed, loaded, and enriched
    • Formula Fields: Create values for fields based on formulas
    • Smart V-Lookups (smarter alternative to the dreaded VLOOKUPS):
      • Simulate JOIN operation between rows in source file and records in Salesforce with support for AND and OR logic
      • Choose between exact, partial, fuzzy, or value-equivalent match types
    • Data Enrichment: Enrich with data from D&B, Reuters, LinkedIn, and other third-party sources
    • Data Verification: Verify street addresses, business names, web-domains, etc
    • Toggle Validation Rules: Turn validation rules (in your Salesforce org) off during loads — and back on automatically
    • Rollbacks: Undo a bad job
    • Personally Identifiable Information (PII) Redaction: Automatically mask sensitive info e.g., email addresses
    • Data Migrations: Move data between Salesforce orgs
    • File Formats: Load data from Microsoft Excel and Google Sheets
    • Data Sources: Load data from Google Drive, Microsoft OneDrive, AWS S3, SFTP, Snowflake, Databricks, etc
    • API: Access product features via API — plug DataIAm into your workflows
    • AI-Powered Mapping Correction (A2A + MCP): Fix broken or outdated mappings using AI-powered pattern recognition, user behavior, and schema changes
    • Salesforce AppExchange: Deploy DataIAm natively as a Salesforce Managed Package from AppExchange
    • Grow Salesforce Ecosystem: Integration with acquired Salesforce products (i.e. not on Salesforce core platform) e.g., Slack, Commerce Cloud, Industry Clouds, Tableau, and Marketing Cloud
    • Grow Beyond Salesforce: HubSpot, ServiceNow, NetSuite, Workday, Adobe Marketing Cloud, and many more enterprise SaaS apps
    • Accessibility: Improve accessibility with WCAG 2.0 compliance
    • HIPAA, SOC 2 and FedRAMP compliance
    • Idea Exchange: For customers to suggest new features, upvote existing ideas, and see what’s planned

    Final Thoughts

    Our goal is simple: take the pain out of fixing and loading data.

    Everything on this roadmap is inspired by conversations with users like you. Whether you’re loading millions of records or fixing a single broken CSV, we want to help you move faster, with less friction, and more confidence.

    Have an idea or a feature you’d like us to prioritize? We’d love to hear from you — email us at TryNewThings@dataiam.com.

    ⚠️Safe Harbor

    This blog post outlines our current product vision and roadmap. It is intended for informational purposes only and should not be relied upon when making purchasing decisions. The development, release, and timing of any features remain at our sole discretion and are subject to change.


    About the Author

    Zeb Mahmood has spent his career unlocking business value by moving, fixing, and loading data—first as an engineer, then as a product leader, and now as a cofounder.

    With 2 decades in product management, 9 years at Salesforce, and hands-on experience in early-stage startups, he’s learned a simple truth: data is the lifeblood of every business. But when it’s messy or trapped in spreadsheets, it can’t drive impact.

    That’s why Zeb cofounded DataIAm — a Fix & Load AI built for Salesforce Admins and data handlers who just want their data to work. No frustration. No failed imports. Just clean, reliable data that loads seamlessly into Salesforce and delivers results.

    Zeb believes great products don’t win on tech alone — they win through empathy. Empathy for users, buyers, partners, and the people building the product every day.

    Zeb Mahmood

    Zeb Mahmood Co-Founder & CEO DataIAm

  • UX that just clicks

    UX that just clicks

    This story is about designing UX for an enterprise app that feels effortless and delightful. It’s the story of DataIAm — an AI-powered data loader for Salesforce.

    In Why a Salesforce-specific Data Loader, I explained why the world needed one. TL;DR: generic ETL tools have bloated menus with options, endless functions, and dials, 90% of which aren’t needed by our target persona, Alex Smith . Alex needs simple, reliable spreadsheet-to-Salesforce loading, and doesn’t have time to learn to drive an 18-wheeler just to run an errand.

    The Experience Starts With the Website

    Great user experience begins at first touch. Our website is self-explanatory, with demo video, animated GIFs to highlight key capabilities, and frictionless self-service signup. All the info needed to get started is right there — no “Call for Pricing” buttons, no barriers.

    Deciding How Users Interact

    Once we knew we had to build a Salesforce-specifc data loader, we had the why, next, we had to solve the how. We followed an iterative, Design Thinking approach, collaborating internally and with design partners.

    Initially, we considered a conversational UI:

    Prompt: “Fix and load my data”

    Fun in theory. But in practice? Meh. Typing a prompt and checking if AI did what you wanted takes time. We scrapped it. Instead, the heavy lifting happens in the background, and users see clean, AI-tested suggestions.

    Our usability criteria were simple: No training, no user docs, no coding — just click, fix, done.

    Every cell in a spreadsheet is analyzed, bad data is flagged and fixed, fields are mapped to Salesforce, missing Record IDs are filled, the preview is displayed, and the job is scheduled — all with just clicks.

    Keeping the User Informed

    The experience doesn’t stop when the data job runs. After a job completes, in-app notifications and emails inform users how it went, highlight any issues, and suggest quick corrective actions. Coming soon: a monitor showing the value DataIAm delivers — records uploaded, missing IDs retrieved, invalid values corrected — all at a glance.

    Early Reactions

    Our co-founder, Zeb, was talking to a Salesforce Admin — no slides, no pitch — he just opened our website. A few minutes in, he said:

    “Let me show you how to sign up…”

    The Admin replied:

    “Actually, I’m already in. The signup was easy…”

    By the time they finished talking, the user was exploring the tool. That’s click-first UX in action.

    Making a simple UX for enterprise app is hard — but gratifying when you see delight on customers’ faces.

    Key Elements of DataIAm UX

    • Familiarity : Built on Salesforce Lightning Design System (SLDS) for instant familiarity because our target user is a Salesforce Admin.
    • Usability : Spreadsheet-like interface for familiar and intuitive interaction.
    • No guesswork : WYSIWYG preview for every data fix. No surprises.
    • End-to-end delight : Experience starts with the website, continues during the data fixing and loading, and post-job notifications keep users informed.

    Experience It!

    The best proof of good UX? Experiencing it yourself. Upload a messy spreadsheet, watch DataIAm flag and fix bad data, preview the fixed data, and run your job effortlessly.

    See how we’ve designed both app and website to delight the users like Alex Smith. Click-first UX, intelligent AI fixes, and frictionless self-service mean anyone can get started in minutes.

    Experience it now: https://dataiam.com


    Mueed Ur Rehman

    Mueed Ur Rehman Sr. Product Designer Arbisoft

  • Why a Salesforce-specific data loader?

    Why a Salesforce-specific data loader?

    In our last post, we explained why ETL and iPaaS aren’t substitutes for Salesforce-specific data loaders. They’re designed for “any-to-any” integration—and require enterprise engineers to build and maintain them.

    Today, let’s talk about the opposite kind of product—one built just for Salesforce. Designed so well, it feels effortless.

    DataIAm: Master of one

    When we set out to build DataIAm, we made a conscious decision:

    • One source — spreadsheet/CSV
    • One destination — Salesforce
    • One target user — the Salesforce Admin

    That’s it.

    We didn’t want to solve every data problem. We wanted to solve one problem phenomenally well—making life better for the people who keep Salesforce running.  Salesforce Admins are technical, often certified, and deeply familiar with their org. But asking them to build complex ETL pipelines just to load a CSV? That’s not a great use of their time. They’re already juggling: System maintenance, user management, dashboards and reports, and automations and workflows.

    Spreadsheets are messy. We embrace that.

    Chaos vs Organized data

    Real-world spreadsheets rarely come clean. They usually look like this:

    • Columns in random order with missing or unclear headers
    • Mixed values like “$100K” and “USD 200M” for numeric (currency) fields
    • Invalid picklist values
    • Empty required fields
    • Missing Record IDs (for update jobs)

    Instead of forcing admins to clean the data beforehand—or learn dozens of transformation rules—DataIAm uses AI to do the fixing. Automagically. 🪄

    But this isn’t generic AI. It’s tuned for Salesforce.

    Here’s what DataIAm does:

    • Understands the data in each column—even without headers
    • Maps each column to the correct Salesforce field
    • Reads your Salesforce org’s metadata (picklist options, data types, required fields)
    • Suggests fixes like:
      • Stripping currency symbols and normalizing numbers
      • Converting invalid picklist values (see Invalid Picklist Values blog)
      • Fetching missing Record IDs
    • Shows a real-time preview of the fixed data (see Visual Data Fixes blog)

    You stay in control—choose data fixes to apply. We believe users still want human oversight (for now)

    Focus wins

    DataIAm doesn’t try to do everything. It’s a tool purpose-built for Salesforce Admins—it fixes your spreadsheet so it’s ready not just for any Salesforce instance, but specifically for your Salesforce org.

    Our users—Salesforce Admins, RevOps leads, and Marketing Ops teams—tell us it’s a game changer.

    Because when the data is right:

    • Reports are accurate
    • Workflows behave
    • Users trust the system

    Until next time: If you’ve ever cursed at a CSV file, come see what we’ve built.
    👉 dataiam.com


    About the Author

    Zeb Mahmood has spent his career unlocking business value by moving, fixing, and loading data—first as an engineer, then as a product leader, and now as a cofounder.

    With 2 decades in product management, 9 years at Salesforce, and hands-on experience in early-stage startups, he’s learned a simple truth: data is the lifeblood of every business. But when it’s messy or trapped in spreadsheets, it can’t drive impact.

    That’s why Zeb cofounded DataIAm — a Fix & Load AI built for Salesforce Admins and data handlers who just want their data to work. No frustration. No failed imports. Just clean, reliable data that loads seamlessly into Salesforce and delivers results.

    Zeb believes great products don’t win on tech alone — they win through empathy. Empathy for users, buyers, partners, and the people building the product every day.


    Zeb Mahmood

    Zeb Mahmood Co-founder & CEO DataIAm

  • ETL ≠ Data Loader

    ETL ≠ Data Loader

    Let’s say you’re at a company that uses Salesforce, and someone asks:

    “Wait, don’t we already have ETL (or iPaaS) ? Why do we need another tool to load data into Salesforce?”

    A totally fair question. There are powerful ETL and iPaaS platforms that have been solving complex data problems for years. But here’s the thing: they were built for something else.

    ETL/iPaaS: Jack of all trades

    blog-img

    These platforms are designed to move data between just about anything—databases, cloud services, APIs, files—no matter the format or protocol. They come packed with hundreds of connectors and transformation rules.

    They’re the Swiss Army knives of enterprise integration. Perfect when you’re syncing Workday to Salesforce every week, with a consistent file format and a locked-in mapping. But what if your day looks more like this?

    • “Hey, can you load this lead list from this morning’s webinar?”
    • “Can you update 20K cases in Service Cloud with this spreadsheet I triaged? Oh, and I forgot to include Record IDs—you can VLOOKUP them in.”

    That’s the kind of chaos Marketing Ops managers and Salesforce Admins deal with every day. And that’s exactly where a different kind of tool shines.

    DataIAm: Master of one

    DataIAm is an AI-powered data loader, purpose-built for Salesforce. Where ETL tools are built for repeatable, engineered pipelines, DataIAm is built for one-off, messy jobs that need to be done right now.

    It’s designed to:

    • Require zero code, zero prompt engineering
    • Fix messy spreadsheets and make them Salesforce-ready

    It’s like taking an 18-wheeler truck (ETL/iPaaS) into downtown—powerful, but unwieldy—versus hopping into an autonomous Waymo SUV (DataIAm) that gets you there effortlessly.

    TL;DR:

    ETL/iPaaS = Jack of all trades
    DataIAm = Master of one: Fixing and loading Salesforce data

    In our next post, we’ll show how DataIAm tackles these challenges—with a little help from AI.


    About the Author

    Zeb Mahmood has spent his career unlocking business value by moving, fixing, and loading data—first as an engineer, then as a product leader, and now as a cofounder.

    With 2 decades in product management, 9 years at Salesforce, and hands-on experience in early-stage startups, he’s learned a simple truth: data is the lifeblood of every business. But when it’s messy or trapped in spreadsheets, it can’t drive impact.

    That’s why Zeb cofounded DataIAm — a Fix & Load AI built for Salesforce Admins and data handlers who just want their data to work. No frustration. No failed imports. Just clean, reliable data that loads seamlessly into Salesforce and delivers results.

    Zeb believes great products don’t win on tech alone — they win through empathy. Empathy for users, buyers, partners, and the people building the product every day.

    Zeb Mahmood

    Zeb Mahmood Co-founder & CEO DataIAm