Best Practices in Retail In-memory Analytics Implementation
ReportsWeb.com published “memory Analytics Implementation Market” from its database. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
(EMAILWIRE.COM, July 24, 2017 ) "Best Practices in Retail: In-memory Analytics Implementation", report discusses how different retailers can benefit from in-memory analytics, with advice provided for IT vendors. The technology helps them to perform multidimensional analysis of various KPIs such as sales, customer preferences, products and more for any store, irrespective of time and location. To determine the most efficient use of in-memory analytics, this report analyzes multiple best practice approaches from different retailers.
For more information about this report at http://www.reportsweb.com/best-practices-in-retail-in-memory-analytics-implementation
In-memory analytics can help retailers speed up the time to insight, especially where large data volumes are concerned. It is particularly beneficial for cases that require real-time analytics with very low latency, which includes supply chain management and customer insight for scenarios such as identifying opportunities at the point of sale (POS) or by an aisle through digital communications with customers.
Scope
- In-memory analytics enable retailers to manage, analyze and respond to queries in real-time and with less complexity
- In-memory analytics can help to perform multidimensional analysis of various KPIs such as sales, customer preferences, products and more for any store, irrespective of time and location
- A large number of retailers such as Wal-Mart, Tesco, Carrefour, Costco and others are already capitalizing on the benefits of in-memory analytics implementations
Request a sample copy at http://www.reportsweb.com/inquiry&RW0001884261/sample
Reasons to buy
- Get a detailed understanding of the usage and importance of in-memory analytics in retail. This report can help you pitch solutions to retailers that include in-memory analytics technology and to gain insight into retailers' priorities and challenges.
Table of Content
1 Key findings 4
2 Case study: Wal-Mart Stores Inc. 5
2.1 Retailer Overview 5
2.2 Challenges faced by the retailer 5
2.3 Solutions deployed 5
2.4 Implementation process 5
2.5 Benefits realized 6
3 Case study: CARREFOUR S.A. 7
3.1 Retailer Overview 7
3.2 Challenges faced by the retailer 7
3.3 Solutions deployed 7
3.4 Implementation process 7
3.5 Benefits realized 8
4 Advice for IT Vendors 9
5 Appendix 10
5.1 Further reading 10
5.2 Contact the authors 10
Companies Mentioned
Walmart
Carrefour
SAP
IBM
Inquire for Report at http://www.reportsweb.com/inquiry&RW0001884261/buying
For more information about this report at http://www.reportsweb.com/best-practices-in-retail-in-memory-analytics-implementation
In-memory analytics can help retailers speed up the time to insight, especially where large data volumes are concerned. It is particularly beneficial for cases that require real-time analytics with very low latency, which includes supply chain management and customer insight for scenarios such as identifying opportunities at the point of sale (POS) or by an aisle through digital communications with customers.
Scope
- In-memory analytics enable retailers to manage, analyze and respond to queries in real-time and with less complexity
- In-memory analytics can help to perform multidimensional analysis of various KPIs such as sales, customer preferences, products and more for any store, irrespective of time and location
- A large number of retailers such as Wal-Mart, Tesco, Carrefour, Costco and others are already capitalizing on the benefits of in-memory analytics implementations
Request a sample copy at http://www.reportsweb.com/inquiry&RW0001884261/sample
Reasons to buy
- Get a detailed understanding of the usage and importance of in-memory analytics in retail. This report can help you pitch solutions to retailers that include in-memory analytics technology and to gain insight into retailers' priorities and challenges.
Table of Content
1 Key findings 4
2 Case study: Wal-Mart Stores Inc. 5
2.1 Retailer Overview 5
2.2 Challenges faced by the retailer 5
2.3 Solutions deployed 5
2.4 Implementation process 5
2.5 Benefits realized 6
3 Case study: CARREFOUR S.A. 7
3.1 Retailer Overview 7
3.2 Challenges faced by the retailer 7
3.3 Solutions deployed 7
3.4 Implementation process 7
3.5 Benefits realized 8
4 Advice for IT Vendors 9
5 Appendix 10
5.1 Further reading 10
5.2 Contact the authors 10
Companies Mentioned
Walmart
Carrefour
SAP
IBM
Inquire for Report at http://www.reportsweb.com/inquiry&RW0001884261/buying
Contact Information:
ReportsWeb.com
Rajat Sahni
Tel: +1-646-491-9876
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results
ReportsWeb.com
Rajat Sahni
Tel: +1-646-491-9876
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results