Name: Velocity
Rating: 2 (1 reviews)
Author: Retail Velocity

Help Desk

Kiosk

Web and Video Conferencing

Customer Support

Augmented Reality Development

Help Authoring

Software Configuration Management

Development

Business Intelligence (BI)

Collaboration

Digital Rights Management (DRM)

Operational Analytics

Enterprise

Accounting

Budgeting and Forecasting

Tax Compliance

Trust Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Monitoring

Employee Scheduling

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

C/C++ Integrated Development Environments

Cloud Storage

Code Review

Data Catalog

Data Fabric

Data Quality

Data Recovery Service

Dynamic Application Security Testing (DAST)

Fraud Detection

IT Alert Management

Identity Governance and Administration

Integration Platform as a Service (iPaaS)

Low-Code Development

Master Data Management (MDM)

Network Access Control (NAC)

Network Performance Monitoring

Network Traffic Analysis (NTA)

Office Migration and Repair

Software-Defined WAN

Virtual Data Room

Virtual Desktop Infrastructure (VDI)

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Blogging

Content Management

Email Marketing

Enterprise Marketing Management

Local Marketing

Marketing Automation

Screen and Video Capture

Social Media Management

Survey & Forms Building

Video Editing

Web Analytics

Marketing

Project Management

Wireframing

Professional Services

Customer Relationship Management (CRM)

Revenue Operations

Sales

Antivirus

Insider Risk Management

Security Orchestration, Automation and Response (SOAR)

Security

Forestry

Last Mile Delivery

Legal Research

Library Management

Nonprofit CRM

Nonprofit Fundraising

Plagiarism Checker

Real Estate Property Management

Vertical-Specific

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VELOCITY® is a retail data platform that, according to the vendor, provides timely and accurate insights into consumer demand and supply. It is designed to meet the needs of both large and mid-sized consumer goods manufacturers and retailers. This solution is utilized by sales professionals, marketing professionals, supply chain professionals, information technology professionals, and data and business analysts in the consumer goods industry. VELOCITY® aims to enhance on-shelf availability, optimize promotion execution, manage retail replenishment, analyze sales and marketing performance, and effectively launch new products.

## Key Features

**On-Shelf Availability**: According to the vendor, VELOCITY® enables users to accurately identify, predict, and resolve out-of-stocks (OOS) and phantom inventory issues in near-real time. It provides a holistic view of on-shelf availability, allowing users to focus on SKUs and retailers that require immediate attention. Collaboration with retail partners is facilitated to make appropriate adjustments and recommendations for ensuring on-shelf availability and continued growth.

**Promotion Execution & Analysis**: VELOCITY® helps improve demand forecasting for future trade promotions and determine appropriate store allocations. It accelerates post-promotion analysis with daily retail sales data, aiming to drive deeper insights and maximize return on investment (ROI). Users can analyze current promotional activity along with pre- and post-promotion data to measure lift by store, chain, region, market, and channel.

**Retail Replenishment**: VELOCITY® provides an end-to-end view of retailer replenishment cycles for supply chain, sales, marketing, and finance teams. It assists in identifying and addressing root causes of out-of-stocks, low weeks of supply (WOS), and store-level anomalies to optimize retail replenishment and maintain optimal inventory levels. The goal is to reduce stockouts, overstocks, cost overruns, out-of-dates, and markdowns to increase sales and revenue.

**New Product Launch**: VELOCITY® integrates daily SKU- and store-level retail data with additional performance data to precisely measure product launches. Users can make data-driven decisions on whether to promote, continue promoting, or stop promoting an item, pull the product, or pause efforts and regroup. The platform also facilitates the identification of underperforming stores, allowing users to reinvest marketing spend with top performers to maximize rollout investments.

**Sales & Marketing Analytics**: VELOCITY® seamlessly integrates syndicated, demographics, weather, social media, and other third-party data to identify sales trends and effectively respond to consumer demand shifts. Users can perform fact-based sales comparisons by SKU, store, chain, region, market, and channel to find sales opportunities and improve planning and forecasting accuracy. The platform aims to strengthen relationships and collaborative planning with retailers at all levels using data-driven sales stories.

**Information Technology**: VELOCITY® offers an industry-leading, robust, scalable advanced analytics platform to meet reporting and analysis needs across enterprises. It streamlines POS and inventory data collection, integration, and harmonization with master, enterprise, and third-party data. The platform aims to gather and manage retail data efficiently, providing trustworthy data for advanced retail analytics and insights generation.

**Data & Business Analysts**: VELOCITY® allows data and business analysts to leverage harmonized point-of-sale (POS) and inventory data for all SKUs by store. This enables the identification of sales trends, inventory risks, and market condition shifts. Retail sales analyses can be performed, and business decisions can be based on enriched, precise daily data to uncover valuable insights and make data-driven decisions. The platform aims to reduce the time spent on collecting, cleaning, and harmonizing disparate data, allowing analysts to focus on strategic initiatives that improve operational efficiencies and drive business growth.

Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs optimizations that let transaction processing, analytics, machine learning, and mixed workloads run faster. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase operational efficiency.

Quarter Rack

Database Server

Oracle Exadata

Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business applications.

CDP Public Cloud - Data Engineering

CDP Public Cloud - Data Warehouse

CDP Public Cloud - Operational Database

CDP Public Cloud - Machine Learning

CDP Public Cloud - Data Hub

CDP Public Cloud - Flow Management

CDP Private Cloud - Plus Edition

CDP Private Cloud - Base Edition

Cloudera Data Platform

Velocity

A Data Warehouse Appliance (DWA) is generally a pre-configured architecture specifically dedicated to big data analytics and as such emphasizes simplicity, focus, and high performance with data over general computational needs.

Data Warehouse

Retail Velocity

A data warehouse is usually a relational database, designed specifically for data analysis instead of standard transactional processing

High-Volume Data Processing

The product's ability to efficiently process large amounts of data.

Data Warehouse Management

The effectiveness of the product’s tools for loading, transforming, sharing, and exploring data, schemas, and dependencies.

Administrative Automation

The product’s capacity to automate administrative tasks such as patching, scaling, and creating backups.

Self-Optimization

The product’s capability to monitor and adjust internal metrics and systems to keep performance as high as possible.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Data Exploration

Ability to explore data and develop insights

Visualization

The product’s support and tooling for analysis and visualization of data.

Data Security

Tools and features that help keep data secure from unauthorized access or internal exposure.

At-Rest Data Encryption

Data at rest is encrypted, requiring decryption to read the underlying data.

In-Transit Data Encryption

Data is transmitted in an encrypted state, preventing interception of raw in-flight data.

In-Use Data Encryption

Data remains encrypted even when stored in non-persistent storage (RAM, CPU caches, and CPU registers). This prevents access to data through malware on an individual device.

Data Redaction

The product's capability to return redacted data in place of actual data when queried. For instance, a redacted query for the phone number 555-5555 could return ***-**55.

Data Masking

The product's capability to use real data to create false data with an identical structure. For instance, this could be used to generate testing data or training data that reflects the data structure without exposing sensitive information.

Access Control and Security

Access control means being able to determine who has access to which data.

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Single Sign-On (SSO)

Allows users to use one set of login credentials to access multiple applications

Location-Based Data Governance

Refers to how well the software enables users to comply with data privacy standards regarding the use of precise location data for customers.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

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Velocity

Overview

What is Velocity?