Dataplateau

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Alteryx Analytics Services
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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.

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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.

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Retail Reporting and Analytics

• 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.

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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.

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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...