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Alteryx Analytics Services

Alteryx Analytics services help companies gain deep visibility into their business processes and advance their decision-making with consolidated analytics.

Dataplateau
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Alteryx Analytics Services

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  1. Alteryx Analytics Services

  2. How You Benefit From Alteryx Services By Data Plateau While delivering qlik analytics services, we make time our priority. To allow you to make informed decisions promptly, we deliver: i) First analytical insights in 1-5 days (in case of outsourced data analysis). ii) A functioning Alteryx solution with the essential functionality in 1 month (due to the iterative approach to Alteryx implementation).

  3. Result-driven collaboration When providing Alteryx as a service, we set up collaboration in the course of which DataPlateau's analysts achieve data completeness and its correct interpretation due to obtaining information from both - data sources and people. When building or improving your Alteryx solution, we elicit fragmented business needs to design a centralized Alteryx solution that will correspond to your short- and long-term objectives.

  4. Facilitated insights With Alteryx as a service, we provide you with flexible and diverse forms of analysis results - PowerPoint or PDF presentations, Excel or Google Sheets tables, Alteryx reports and dashboards - to help you get a quick insight into your business operations. When we develop or improve your Alteryx solution, we advise on dashboards layout and recommend reports and KPIs that can give a broader view of your business. Besides, we blend business intelligence with business analytics so that your Alteryx solution could create forecasts and even prescribe actions.

  5. Check Data Plateau's Hallmark Alteryx Projects Retail companies have to constantly struggle with larger competitors for consumer and brands. The way to a bigger market share involves average purchase value increase, vendor selection optimization and even putting business to omni-channel rails. We can help retail companies take the guesswork and uncertainty out of these challenges in affordable but sharp way, and so help to increase revenue and profitability.

  6. ● Demand forecasting for particular products and brands. ● Consumer basket analysis. ● Customer segmentation. ● Category management and product assortment selection. ● Promotion modelling. ● Store clustering and price zone definition. ● Competition analysis. Retail Reporting and Analytics

  7. Profound Retail Analytics ● Complex predictive models for products, prices, regions, stores, etc. ● Statistical models to manage risks. ● Machine learning algorithms and methods for improved merchandising. ● Video / behavior pattern recognition to reveal shoplifters. ● Decision support methods for optimum assortment and shop development strategy.

  8. Advanced Reporting for Retail ● Performance reports by channel, division, region, store, department, product category or brand. ● Comparison reports on brands and SKUs. ● Optimization reports on sales and item movement data. Help understand demand, optimize staffing levels, and improve inventory turn, etc.

  9. BI Infrastructure Implementation ● Data warehouse development. ● Data integration from distributed data sources. ● ETL and data cleansing. ● Developing OLAP and ROLAP systems. ● Very large database. ● Data replication between store and headquarter. ● Implementation of data security solutions. Read for more information...

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