PredictHQ's Intelligent Event Data | Retail | Harrods, London, UK  | September 2023 - March 2024 product image in hero

PredictHQ's Intelligent Event Data | Retail | Harrods, London, UK | September 2023 - March 2024

PredictHQ
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#
id
duplicate_of_id
parent_event_id
title
description
category
labels
start
end
predicted_end
timezone
duration
country
lat
lon
scope
place_hierarchies
venue_id
venue_name
venue_formatted_address
rank
local_rank
phq_attendance
predicted_event_spend_total
predicted_event_spend_accommodation
predicted_event_spend_hospitality
predicted_event_spend_transportation
impact_patterns
first_seen
updated
state
cancelled
postponed
deleted_reason
brand_safe
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx
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Sign In To Preview Data
Volume
9.9K
records
Avail. Formats
.json and .csv
File
Coverage
101
Countries
History
6
months

Data Dictionary

[Sample] PredictHQ-RetailStore-Events-HarrodsLondon-Sep2023-Mar2024.csv
Attribute Type Example Mapping
id
String 7dpCi9E8NFVnXec3ci
duplicate_of_id
parent_event_id
title
String City of London - City of London School - Summer Holidays
description
category
String school-holidays
labels
String holiday,school,summer-holiday
start
DateTime 2023-07-05T00:00:00+00:00
end
DateTime 2023-09-03T23:59:59+00:00
predicted_end
timezone
duration
Integer 5270399
country
String GB
lat
Float 51.61162
lon
Float -0.42454
String 222-22t@5yv-j89-g6k Placekey
scope
String county
place_hierarchies
String 6295630>6255148>2635167>6269131>2648110,6295630>6255148>2...
venue_id
venue_name
venue_formatted_address
rank
Integer 50
local_rank
Integer 40
phq_attendance
Integer 1018
predicted_event_spend_total
predicted_event_spend_accommodation
predicted_event_spend_hospitality
predicted_event_spend_transportation
impact_patterns
first_seen
DateTime 2022-01-11T13:18:59+00:00
updated
DateTime 2024-01-11T02:45:11+00:00
state
String active
cancelled
postponed
deleted_reason
brand_safe

Description

Free sample dataset of attended, non-attended and unscheduled events for the Harrods Department Store in London, UK to help understand which events impact demand and footfall near retail stores. Polygon information available upon request
Retail companies need to know which events impact their demand, when similar events are coming up, and how significant these events will be - whether that’s how many people will be attending events around their locations or how severe an unscheduled event such as a severe storm is. This directly informs their inventory levels, workforce optimization, and pricing strategies. Events impact the strategies of brick and mortar stores or chains that will be capitalizing on increased footfall and need to make decisions based on an expected decrease in footfall. They also impact delivery-based retail that will need to update their fleet and warehousing strategies ahead of time. Data also includes Predicted Event Spend, a dollar figure that reflects the predicted amount of retail, accommodation, and transportation spending in a specific area as a result of a major event. At the core of this figure sits our market leading global event coverage, predicted event attendance, local accommodation demand, aviation demand, third party data and more to give you greater geographical context of the scale of the economic impact an event will have. Location: McDonald's, Times Square, New York City Visibility Window: 6-Months Historical Categories: community, concerts, conferences, expos, festivals, performing arts, sports, academic, daylight savings, observances, politics, public holidays, school holidays, airport delays, disasters, health warnings, severe weather, terror Fields Included: - Title - Category - Labels - Description - Start date and time - End date and time - Predicted end time - Timezone - Country - Lat / Lon - Venue Name - Venue Address - Rank (PHQ Rank, Local Rank) - PHQ Attendance - Event status - Place Hierarchy - Created/updated timestamps - Predicted event spend total - Predicted event spend accommodation - Predicted event spend hospitality - Predicted event spend transportation Polygon information: PredictHQ's polygons enable you to see the full area impacted by an event represented as a shape, because many types of events don't occur neatly at a point on a map. That means you will get a much more accurate picture of impact. Data samples including polygons are available upon request. Data quality: PredictHQ's data quality is one of its key strengths: 1) We have developed a set of Quality Standards for Processing Demand Causal Factors (QSPD), which are used to define the criteria for high-quality event data. By following these standards, PredictHQ ensures that their data meets the highest levels of quality. 2) We use more than 450 data sources to collect event data, including public records, social media, and ticketing websites. 3) We have built thousands of machine learning models that standardize, verify, enrich, and rank every single event. 4) On average we process 28 million events and 422,000 entities every day 5) We track the quality of our data over time and make improvements as needed. About PredictHQ: PredictHQ is the world’s first and only company that provides the missing context for the biggest external factor that impacts businesses demand – events. PredictHQ’s intelligent data of verified global events enables businesses to forecast shifts in demand from events to be able to adjust their inventory, make changes to labor, dynamically price and operate more efficiently. Think conferences, sports games, college graduations, floods, and more. PredictHQ brings all events into one place, combines it with world-first tools and intelligence to allow organizations to better predict and respond to changing customer demand created by events in an easy, reliable, and scalable way. We meet customers exactly where they are, ensuring they can access our data the way that suits them best. Learn more about PredictHQ's real-world event data by visiting our Developer and Data Science Documentation: https://docs.predicthq.com/ Keywords: attended events, attendance, sports, festivals, expos, conferences, concerts, performing arts, community, polygon, consumer spending, predicted spend, location information, demand intelligence, financial data, venue location, accommodation, transportation, restaurant, demand intelligence, event intelligence, event categorisation, business insights, event tracking, historical event data, even impact analysis, event-driven decisions, predictive analytics, retail, shopping, weather, severe weather, historical weather

Country Coverage

Africa (7)
Egypt
Kenya
Morocco
Nigeria
South Africa
Tunisia
Zimbabwe
Asia (25)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
China
Cyprus
Hong Kong
India
Indonesia
Israel
Japan
Kazakhstan
Malaysia
Oman
Pakistan
Philippines
Qatar
Saudi Arabia
Singapore
Taiwan
Thailand
Turkey
United Arab Emirates
Vietnam
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (7)
Canada
El Salvador
Guatemala
Honduras
Mexico
Nicaragua
United States of America
Oceania (2)
Australia
New Zealand
South America (9)
Argentina
Bolivia (Plurinational State of)
Brazil
Chile
Colombia
Ecuador
Paraguay
Peru
Uruguay

History

6 months of historical data

Volume

9,900 records

Pricing

Free sample available
PredictHQ has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
UI Export
REST API
Frequency
hourly
daily
weekly
real-time
on-demand
Format
.json
.csv

Use Cases

Location Intelligence Demand Forecasting
Workforce Optimization
Event Visibility
Dynamic Pricing

Categories

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Frequently asked questions

What is PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024?

Free sample dataset of attended, non-attended and unscheduled events for the Harrods Department Store in London, UK to help understand which events impact demand and footfall near retail stores. Polygon information available upon request

What is PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024 used for?

This product has 5 key use cases. PredictHQ recommends using the data for Location Intelligence, Demand Forecasting, Workforce Optimization, Event Visibility, and Dynamic Pricing. Global businesses and organizations buy Location Data from PredictHQ to fuel their analytics and enrichment.

Who can use PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with PredictHQ to see what their data can do for your business and find out which integrations they provide.

How far back does the data in PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024 go?

This product has 6 months of historical coverage. It can be delivered on a hourly, daily, weekly, real-time, and on-demand basis.

Which countries does PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024 cover?

This product includes data covering 101 countries like USA, China, Japan, Germany, and India. PredictHQ is headquartered in United States of America.

How much does PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024 cost?

Pricing information for PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024 is available by getting in contact with PredictHQ. Connect with PredictHQ to get a quote and arrange custom pricing models based on your data requirements.

How can I get PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024?

Businesses can buy Location Data from PredictHQ and get the data via S3 Bucket, UI Export, and REST API. Depending on your data requirements and subscription budget, PredictHQ can deliver this product in .json and .csv format.

What is the data quality of PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024?

You can compare and assess the data quality of PredictHQ using Datarade’s data marketplace. PredictHQ appears on selected Datarade top lists ranking the best data providers, including June Provider Spotlight.

What are similar products to PredictHQ’s Intelligent Event Data Retail Harrods, London, UK September 2023 - March 2024?

This product has 3 related products. These alternatives include PredictHQ’s Intelligent Event Data Restaurant & QSR McDonald’s Times Square, New York City September 2023 - March 2024, The Data Appeal Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data, and Unacast Foot Traffic Data Global. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request