Webshark delivers business intelligence services for companies that have plenty of data but struggle to get clear, trusted answers from it. Our BI consulting team connects your ERP, CRM, ecommerce, finance and marketing systems, builds a clean data model, and designs dashboards in Power BI, Tableau or Looker that show the KPIs each team needs. As a business intelligence company, we focus on adoption: definitions everyone agrees on, fast reports, mobile access and training, so dashboards become part of daily decisions rather than another unused tool. Need the data pipelines behind your reports? See our data engineering services.
Years of Software Engineering Experience
Projects Delivered Across Industries
Countries Served, Including the USA
Active Clients Trusting Our Engineering
Every business intelligence engagement follows ISO 27001 certified security and CMMI Level 3 delivery processes, with data handling aligned to GDPR, CCPA, HIPAA and the industry standards your auditors expect.
From a first executive dashboard to an enterprise BI platform, our business intelligence services cover strategy, data, design and support.
We start with the decisions you need to make, then build the data and dashboards that support them.
Workshops that define goals, KPIs, data owners and a BI roadmap aligned to how your business runs.
Power BI models, DAX measures, dashboards, row-level security and Fabric integration.
Interactive Tableau and Looker dashboards with drill-downs, filters and scheduled reports.
Warehouses on Snowflake, BigQuery, Redshift or Synapse that give BI one source of truth.
Dashboards embedded in your SaaS product or client portal, with secure multi-tenant access.
Forecasting, anomaly alerts and natural language questions on top of your BI data.
Most BI projects fail on trust and adoption, not technology. We design for both from day one.
Different teams often report different numbers for the same metric. We document KPI definitions with your stakeholders, build a governed semantic layer and reconcile figures against source systems before go-live. When finance, sales and operations all see the same revenue, margin and pipeline numbers, meetings shift from arguing about data to acting on it.
We design dashboards around real questions, keep them fast and simple, and make them work on phones and tablets. Training sessions, short guides and usage tracking show which reports drive decisions and which need improving. Adoption is part of every business intelligence engagement we run.
A structured BI delivery process gets your first dashboards live in weeks and grows into a platform that scales.
Our business intelligence services start with one to two weeks of discovery. We meet leaders and teams to understand the decisions they make, the reports they rely on today and where those reports fall short. Together we define KPIs, owners, definitions, refresh frequency and target users. We audit data sources for quality and access, then agree a phased roadmap. You receive a KPI dictionary and a prioritized backlog that delivers the highest-value dashboards first.
Next we connect your ERP, CRM, accounting, ecommerce, marketing and custom application data using reliable ELT pipelines built with tools such as Fivetran, Azure Data Factory, Airbyte or custom Python connectors. Incremental loads, failure alerts and automated data quality checks keep reports fresh and accurate. This step removes the manual exports and spreadsheet merging that slow most finance and operations teams down, and it usually takes two to four weeks for the first sources.
We design clean star-schema models in a cloud warehouse such as Snowflake, BigQuery, Azure Synapse, Microsoft Fabric or Amazon Redshift, often using dbt for tested, version-controlled transformations. We handle history, slowly changing dimensions, currencies, fiscal calendars and time zones, so every team sees the same numbers. A semantic layer with business-friendly names lets users explore data without SQL. This modeling work is what makes BI consulting results trustworthy and fast to query.
Our designers turn agreed KPIs into clear, interactive dashboards in Power BI, Tableau or Looker, choosing the right chart for each question and adding drill-downs, filters and threshold alerts. Executive views stay simple and fit on one screen, while analysts get detailed exploration pages. Every dashboard is tested with its real users before launch, and we usually deliver the first live dashboards within four to eight weeks, so leaders see value early.
Sensitive figures need protection. We set up row-level security so each manager sees only their region, team or clients, along with role-based access, audit logs and data classification. BI access is tied to your identity provider, such as Microsoft Entra ID, Okta or Google Workspace, so joiners and leavers are handled automatically. We align the setup with GDPR, HIPAA, SOC 2 or CCPA requirements and document data lineage for auditors.
Once the core is stable, we set up certified datasets, report templates and role-based training so business teams can build their own reports safely instead of waiting in a queue. We run hands-on workshops for report builders and short sessions for viewers, and we can help establish a small center of excellence with clear standards. The result is wider adoption, fewer conflicting spreadsheets and more time for your data team to work on deeper analysis.
After launch we monitor data refreshes, fix failed loads, add new KPIs and sources, and optimize report performance as data volumes grow. Usage analytics show which dashboards are used and which are ignored, so we can improve or retire them. Quarterly reviews with your stakeholders track adoption and business impact and plan the next set of dashboards, keeping your business intelligence investment aligned with how the company actually makes decisions.
Decisions, KPIs and data sources mapped.
Reliable pipelines from every source system.
Star-schema models and a semantic layer.
Clear dashboards tested with real users.
Row-level security and governed access.
Certified datasets, templates and training.
Monitoring, new KPIs and quarterly reviews.
Our business intelligence company builds dashboards for retail, ecommerce, manufacturing, healthcare, fintech, logistics and SaaS clients.
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Every industry tracks different KPIs, so we shape models and dashboards around yours.
Answers to the questions leaders ask before hiring a business intelligence company: cost, tools, timelines and adoption.
Business intelligence services help companies collect, clean, model and visualize data so leaders can make faster, better decisions. A complete engagement covers KPI strategy, data integration from systems such as ERP and CRM, a cloud data warehouse, dashboards in tools like Power BI, Tableau or Looker, governance and security, user training and ongoing support. The aim is one trusted version of the numbers, refreshed automatically, instead of conflicting spreadsheets built by hand each month. Good BI consulting also focuses on adoption, so dashboards actually change how teams work.
A first set of dashboards usually costs $8,000 to $25,000, covering discovery, a few data sources, a basic data model and three to six dashboards. A full BI platform with a data warehouse, multiple sources, row-level security and self-service analytics typically ranges from $30,000 to $100,000. The main cost drivers are the number and quality of data sources, data volumes, complexity of business rules, security needs and the number of departments involved. License costs for BI tools and cloud warehouses are separate, and we help you estimate those too.
First dashboards usually go live in 4 to 8 weeks. That covers discovery and KPI workshops, connecting the first data sources, building the data model and designing and testing dashboards with users. A full business intelligence platform with several data sources and departments takes 3 to 6 months, delivered in phases so each team gets value as soon as its data is ready. Messy or undocumented source data is the most common cause of delay, so we assess data quality early and flag issues before they affect timelines.
Power BI suits Microsoft-centric businesses using Microsoft 365, Azure or Dynamics, and offers strong value per user, especially within Microsoft Fabric. Tableau is excellent for complex visual analysis and is popular with analyst-heavy teams and Salesforce users. Looker fits companies on Google Cloud that want governed, code-based data models. All three can deliver great results. Our BI consulting team recommends the tool based on your existing stack, data volumes, number of users, embedding needs and budget, and we can run a short proof of concept to compare options.
Webshark brings 7+ years of delivery and 580+ projects completed under ISO 27001 and CMMI Level 3 certified processes. We combine data engineering, BI design and software development in one team, so pipelines, dashboards and the applications that feed them work together instead of being handled by separate vendors. We focus on KPI definitions and adoption, not just attractive charts. Our team overlaps with US business hours for workshops and reviews, and we support clients in 18+ countries across retail, manufacturing, healthcare, finance and logistics.
Yes. We connect SAP, Oracle, Microsoft Dynamics 365, NetSuite, QuickBooks, Xero, Zoho, Salesforce, HubSpot, Shopify, Google Analytics and custom databases to your BI platform with automated pipelines. Where a system has no standard connector, we build one using its API or a secure database replica. Data is loaded incrementally on a schedule that suits each source, from every few minutes to daily, and quality checks catch missing or broken records. This is usually the first step of our business intelligence services and removes manual exports for good.
Yes. We build embedded analytics so your customers see their own data inside your product, using Power BI Embedded, Tableau Embedded, Looker or custom charting with libraries such as Apache ECharts or D3. Secure multi-tenant access ensures each customer only sees their records, typically through row-level security tied to your application login. We also handle performance, white-label styling and usage-based cost control. Embedded dashboards are a common way for SaaS companies to add a premium analytics tier and reduce support requests for custom reports.
Yes. We add forecasting for sales, demand and cash flow, anomaly detection that flags unusual spikes or drops, customer churn and segmentation models, and natural language questions so users can ask about their data in plain English. These features sit on top of the same governed warehouse as your dashboards, so AI answers use trusted numbers. We start with one high-value use case, measure accuracy against actual results and expand from there. See our AI and machine learning development page.
For business intelligence we use Power BI, Tableau, Looker and Microsoft Fabric for reporting; Snowflake, Google BigQuery, Azure Synapse, Amazon Redshift and PostgreSQL for warehousing; dbt for modeling; and Fivetran, Airbyte, Azure Data Factory and Python for data integration. Orchestration runs on Airflow or cloud-native schedulers across AWS, Azure and Google Cloud. For embedded analytics and custom portals we use React, Next.js and Node.js. We recommend the stack that fits your existing systems, team skills and budget rather than a one-size-fits-all toolset.
You do. All data models, SQL and dbt code, pipeline configurations, dashboard files, documentation and any custom code created during your business intelligence project belong to you, and IP ownership is set out clearly in the contract. Warehouse and BI tool accounts are created in your name, so your data never sits in a vendor-owned environment. We sign NDAs before discovery starts and hand over all credentials and documentation at the end, so your team or another provider can maintain and extend everything we built.
Yes. Instead of a fixed-price project you can hire dedicated data engineers, BI developers and analysts on monthly contracts, from one specialist to a full team with a project manager and QA. This model suits companies with a steady stream of new reporting requests, ongoing data platform work or several departments to onboard over time. The team works in your tools and follows your priorities, and you can scale up or down with notice. Many clients start with a fixed-price first phase and then move to a dedicated team. See our hire full-stack developers page.
Yes. After launch our BI support plans cover data refresh monitoring, fixing failed loads, adapting pipelines when source systems change, performance tuning, new KPIs and dashboards, user training and license optimization. Response times are agreed upfront by severity, so a broken executive report on a board day is handled first. Our team overlaps with US business hours for calls and change requests. Quarterly reviews track dashboard usage and plan improvements, keeping your business intelligence platform accurate and relevant as the company grows.