Tag: Data Loading

  • 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

  • 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

  • Every Salesforce admin needs DataIAm

    Every Salesforce admin needs DataIAm

    In our last post, we met Alex Smith—the all-star Salesforce Admin who keeps the engine running while juggling a dozen fires. But even pros like Alex hit a wall when that spreadsheet shows up. You know the one: A last-minute request. You open the file… and instantly wish you hadn’t. No headers. Addresses crammed in a single column. Missing Record IDs. Invalid picklist values. Yikes!

    But Alex doesn’t panic anymore—because Alex has DataIAm: the AI-powered sidekick built specifically for Salesforce Admins.

    While most data loaders just push data into Salesforce, DataIAm fixes it first—making sure the data is clean, compliant, and Salesforce-ready before it ever touches Alex’s Salesforce org.

    It’s really AI… but Alex calls it magic.

    How DataIAm Helps

    DataIAm scans every cell in the spreadsheet and starts guiding Alex through cleanup—suggesting fixes, flagging issues, and transforming chaos into clean, structured, load-ready data.

    Let’s walk through some of the most common problems with CSV files—and how Alex fixes them with DataIAm:

    Problem 1: No Column Headers

    Alex’s challenge: Is this “First Name”? “Full Name”? “Company”? Who knows.
    The fix: DataIAm analyzes each column’s values and suggests the right header instantly.

    Problem 2: Single Address Column

    Alex’s challenge: Everything—street, city, state, zip—crammed into one column.
    The fix: DataIAm intelligently splits and maps it to Salesforce’s compound address fields.

    Problem 3: Missing Record IDs

    Alex’s challenge: It’s an update job, but the spreadsheet has no Record IDs.
    The fix: DataIAm matches the records using name, email, or phone—and fetches the Record IDs for Alex. The days of VLOOKUPs are over!

    Problem 4: Picklist Chaos & Inconsistent Formats

    Alex’s challenges:

    • Invalid picklist values
    • Random phone number formats
    • Shorthand currency values like “$100K”

    The fix: DataIAm jumps in to:

    • Convert invalid picklist values to valid ones
    • Standardize phone numbers
    • Translate shorthand currency into real numbers ($100K → 100000.00)

    Problem 5: API Limit Anxiety

    Alex’s challenge: Hitting ‘Run’ could blow past the API quota for the day.
    The fix: DataIAm checks the current API usage and suggests whether to run now or wait—so Alex doesn’t use up all the quota and lock out the business users.

    💬 What Real Users Say

    “I used to spend hours cleaning up spreadsheets before every data load. With DataIAm, it’s done in minutes. It’s like having an extra set of hands fixing everything before I even hit ‘Upload’.”

    — A Salesforce Admin

    With DataIAm, Alex isn’t just surviving data chaos—they’re owning it.

    Want to stop battling messy spreadsheets and start working smarter like Alex? Try DataIAm 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

  • Target user persona: Salesforce admin

    Target user persona: Salesforce admin

    To truly solve real business problems, we had to understand the struggles of the unsung heroes keeping Salesforce running—Salesforce Admins. Enter Alex Smith, our everyday hero. Alex is more than just a Certified Salesforce Administrator. A multitasking master, a data-wrangler, and often an unofficial therapist for coworkers facing Salesforce issues—simply, a superhero! Collaborating with Sales Ops Managers, Operations Analysts, and Chief Revenue Officers, Alex ensures Salesforce delivers business value.

    The Many Hats of Alex

    Alex’s role isn’t just about resetting passwords—it’s about being the go-to for almost anything Salesforce. Here’s a glimpse of what Alex juggles daily:

    • User Management: Setting up, deactivating, and managing user permissions.
    • Customization: Building custom fields, objects, flows, and even AI agents in Salesforce.
    • Reporting and Dashboards: Crafting insightful reports to guide decision-making.
    • Data Loading & Data Export: Inserting, updating, deleting, and extracting data from Salesforce.

    Yes, a massive part of Alex’s day is spent battling messy spreadsheets and CSV files during data loading.

    Data Loading: The Time Sucker!

    Imagine this: Marketing just had a killer webinar, and now they need those new leads loaded—yesterday! The lead data rarely comes in a clean, Salesforce-ready format. What should be a “simple” task quickly becomes a data nightmare:

    • Bad file structure: Every CSV file is unique. This one arrives without headers and has crucial address information crammed into a single column.
    • Mixed formatting: Salesforce fields expect precise data types, but spreadsheets don’t care! Alex sees $10M, 1000, 1MM, and 60M thrown together for Annual Revenue—a field meant to hold numbers only.
    • Invalid picklist values: The Salesforce field “Lead Status” expects predefined options, but mismatched values like “Open” and “Interested” instead of “Prospect” need to be manually corrected.
    • Missing Record IDs: For leads to be updated, no Record IDs means complex VLOOKUPs are required, manually hunting for the right IDs to avoid creating duplicates

    Some days, it feels like these spreadsheets are actively plotting against Alex!

    Joke Break: What’s a Salesforce Admin’s favorite workout? “Data lifting! Heavy CSVs, light patience.”

    Stay tuned for our next blog post, where we show how DataIAm turns Alex into an even bigger superhero—no more screaming at spreadsheets!


    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