Our Power BI Consulting Services for the Beauty Industry
Power BI is a business intelligence and data visualization tool that allows you to connect to various sources of data, analyse them, and create interactive reports and dashboards. Power BI can help the beauty industry to transform their operations and meet the customer demands by providing them with actionable insights into their performance, inventory, customers, employees, and competitors.
We are a Power BI Consultancy for Beauty Brands who want to take control of their data.
We provide the following:
End-to-end Power BI projects from start to finish
Managed service – choose the best SLA for your goals
Training for your Beauty BI and finance team
Features of Power BI that are useful for the Beauty Industry
Data connectors:
Power BI can connect to hundreds of data sources, such as SQL Server, Azure, Google Analytics, Excel and more. This allows beauty companies to access and combine data from various platforms and systems. This could include ERP, point of sale, web analytics or financial systems giving them a holistic view of their business.
Dashboards:
Power BI can create stunning and interactive dashboards that display key metrics and indicators for sales, planning and business financials. This allows beauty companies to customize and share their dashboards with their teams and stakeholders, and access them from any device.
Reports:
Power BI can generate detailed and insightful reports that drill down into the data and reveal the underlying patterns and trends. Beauty companies can use reports to answer specific questions, explore scenarios, and compare outcomes. They can also apply filters, slicers, and bookmarks to their reports to focus on the relevant data.
Semantic models:
Power BI can build semantic models (datasets) that define the relationships and calculations among the data elements. Semantic models enable the beauty industry to create consistent and accurate measures and calculations across their data sources, and use them in their dashboards and reports.
Q&A:
Power BI can answer natural language queries from the users, and provide visual and textual responses. Q&A allows beauty companies to ask questions about their data in their own words, and get instant answers without writing any code or formula
Benefits of Power BI for the Beauty Industry
Faster and better decision making
Power BI can help beauty companies make data-driven decisions in real time, based on the latest and most accurate information. Power BI can also provide predictive analytics and what-if scenarios, to help beauty brands anticipate future outcomes and plan accordingly.
Trend Analysis
Power BI can aggregate sales and customer data to identify trends in product popularity, seasonal demand fluctuations, and emerging market segments. This allows beauty brands to adapt their marketing strategies, product development, and inventory management to meet current market demands.
Performance Tracking
Beauty companies can use Power BI to set and monitor key performance indicators (KPIs) across different areas of the business, from sales and marketing to operations and customer service. This real-time performance tracking helps in quickly identifying areas for improvement.
Social Media Analytics
By integrating social media data, Power BI allows beauty brands to monitor their online presence, understand customer sentiment, and measure the effectiveness of social media campaigns. This can inform content strategies and help in engaging more effectively with customers.
Examples of some of our data analytics consulting in the Beauty Industry
Revolutionising reporting, building comprehensive management information packs that give efficient and effective and actionable insights for business leaders to see performance and act to keep progress on track.
Integrated business planning. From top level corporate budgets and enterprise alignment between store and product level budgets. Ensuring departments work to a common goal and joined up set of numbers
Inventory control, using product level performance and predictive analytics to forecast future stock holding and allow corrective action to ensure stock is at the right level. Built on robust product seasonality curves, with growth factors and the extrapolation of these factors to provide realistic product demand forecasting
Pricing strategy linked to product performance versus expected performance. Linking to strategies for replacement products and product lifecycle management
To find out how we could help your business why not have an introductory call?
We work closely with your team to make sure it all goes smoothly
We take a deep dive in your reporting set up
We provide full strategy and training
Service led business
Mapped out five-step process
