Business intelligence for Los Angeles companies that need one version of the numbers

When every department has its own revenue figure

A familiar Monday in an LA company: marketing reports one revenue number from the ad platforms, finance has another from the accounting system, and the ecommerce lead has a third from Shopify. The meeting turns into a debate about whose spreadsheet is right instead of what to do next.

The fix is not another dashboard sitting on top of the same mess. Real business intelligence starts with agreed definitions (what counts as a sale, a customer, a margin) and a single place where the data is cleaned and joined. Dashboards come after that, and they are far simpler once the foundations are right. That order is the whole point of business intelligence. Los Angeles companies that skip the definitions stage often end up rebuilding their dashboards, because nobody trusted the first set.

What the service covers

• Data strategy and KPI design: the ten or so numbers that run the business, defined in writing
• A data warehouse and pipelines that pull from your CRM, finance, ecommerce, ad and operations tools
• Dashboards in Power BI, Looker Studio or Tableau, built for the people who will read them
• Automated reporting delivered to inboxes or Slack on a schedule
• Forecasting for sales, demand, cash or capacity
• Data quality checks that warn you before a bad number reaches the board

What LA industries ask their data

• DTC fashion and beauty brands: true contribution margin per order after returns, shipping, discounts and ad spend, split by channel and product drop
• Entertainment and media companies: content performance across platforms, campaign results by title, and royalty or participation reporting that finance can reconcile
• Aerospace and manufacturing suppliers in the South Bay: on-time delivery, quality escapes, supplier lead times and job costing from the ERP
• Multi-location clinics and aesthetics groups: bookings, no-shows, treatment mix and revenue per provider across sites
• Real estate owners and property managers: occupancy, rent collection, leasing pipeline and maintenance cost per unit across a portfolio

Handling Californians' data properly

A warehouse that joins customer records from several tools is exactly the kind of system the CCPA and CPRA care about. We design it so personal data is only kept where reporting needs it, sensitive fields are masked or left out, and access is set by role. We also keep a map of which tables hold personal information, which makes consumer access and deletion requests far easier to answer.

For healthcare clients, patient-level data stays out of general dashboards entirely unless your compliance team approves the design, and we account for HIPAA and California's medical privacy law when we plan the warehouse. Studio and agency clients get the same care with talent fees, deal terms and contract data, which usually need tighter access than sales figures.

From messy exports to a weekly habit: Talk, Plan, Build, Grow

• Talk: interviews with leaders about the decisions they make and the numbers they wish they had
• Plan: KPI definitions, a source map and a build plan with dates, all in writing
• Build: warehouse, pipelines, then dashboards, released in stages so you see value early
• Grow: training, new reports on request and quarterly reviews of what people actually use

How data checks and reviews work

Data work suits a clear routine. Pipeline builds and data checks run on a schedule agreed with your team, and each refresh comes with a short written note on anything that changed or failed. Review calls are booked at times that suit you. Ownership of the dashboards, data models and accounts is agreed in writing at the start, and you can open all of it at any time. Results depend on the discipline of that routine and the quality of the business intelligence. Los Angeles clients get the same Signal Lead, written dates and weekly progress note as every client we work with.

A note on scale

We have managed over $1.5 million in projects, and reporting is how we run our own delivery: every engagement is tracked against written dates and budgets. We bring the same discipline to how your numbers are defined and checked.

What shapes the cost

• Number of data sources and how clean they are
• Whether you already have a warehouse or need one set up
• How many dashboards and audiences you need
• Forecasting or advanced modeling requirements
• Ongoing support, training and new report requests

Why choose 22 Signals for business intelligence

Plenty of firms build dashboards. Fewer also run the marketing, ecommerce and AI work that produces the data in the first place, which means we understand where your numbers come from and why they break. Los Angeles clients often combine this with our Power BI consulting, data engineering, or AI automation work in Los Angeles to remove the manual steps behind each report.

Questions

Do you work with Los Angeles companies that already use Power BI or Tableau?

Yes. Plenty of LA companies already pay for a BI tool but have dashboards nobody trusts. We usually keep the tool, fix the data model and definitions underneath, and rebuild the reports people need. Switching tools only makes sense when licensing or features are a real problem.

How long before we see our first dashboard?

That depends on the number of data sources and their condition, but we plan the build so a first useful dashboard arrives early, often for sales or marketing, rather than waiting for everything. The full timeline is agreed at the start and written down, with the Signal Lead reporting against it.

Can you combine Shopify, Amazon and ad platform data for a DTC brand?

Yes, and it is one of the most useful projects for an LA brand. We bring orders, refunds, fees, shipping costs and ad spend into one warehouse, then report contribution margin by channel, product and campaign. It is often the first time a brand sees which products actually make money after returns.

How do you handle CCPA requirements in a data warehouse?

We keep personal data to what reporting needs, mask or exclude sensitive fields, restrict access by role and document where personal information lives. That makes it easier to respond when a Californian asks to access or delete their data. Your counsel signs off the final approach.

Do you meet in person in Los Angeles?

Yes, when it helps. BI projects run well through shared screens and documents, with calls booked at times that suit your team. If a workshop with your leadership team would be better in a room, for example to agree KPI definitions, we plan a visit to Los Angeles when the project needs it.

Who owns the data and dashboards when the project ends?

We agree that in writing at the start, and you always have access to the data, dashboards and pipelines we build and run for you. We document the data model and pipelines and train your staff. If you want ongoing support we can provide it, but nothing is locked to us.

Where does a business intelligence project usually start?

With one decision that keeps going wrong because the data is unclear, for example which products to reorder, which campaigns to cut or which locations are underperforming. We build the data and dashboard for that decision first, prove it is trusted, then widen the scope. It is a practical way to start business intelligence. Los Angeles leadership teams see value early rather than waiting for a full warehouse.

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A fit check, not a pitch. A few questions, an honest answer and a clear next step. Not every call ends in a proposal.

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