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Adverity
Overview
HQ Location
Austria
Year Founded
2015
Company Type
Private
Revenue
$10-100m
Employees
201 - 1,000
Website
Twitter Handle
Company Description
Adverity is the integrated data platform for connecting, managing, and using your data at scale. The platform enables businesses to blend disparate datasets such as sales, marketing, and advertising, to create a single source of truth over business performance. Through automated connectivity to hundreds of data sources and destinations, unrivaled data transformation options, and AI-powered Data Governance features, Adverity makes it easy to scale and automate your data operations and have Trust in your data.
IoT Snapshot
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Technology Stack
Adverity’s Technology Stack maps Adverity’s participation in the IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
How ColgatePalmolive Accelerated Adcampaign Optimization
Colgate-Palmolive's Online Acceleration Center of Excellence in London was focused on transforming its digital offering in markets throughout the EU. However, reporting on key digital advertising parameters was largely manual. Local media teams logged into various ad platforms, collected data, and inserted them into Excel templates to create bi-weekly reports. These reports were then sent to brand managers in respective markets and the local agency teams, with no automated flow of information. The process was slow and time-consuming, involving over 25 people in the EU region. Furthermore, the data was practically out of date by the time it arrived with the analysts and decision makers. The reports were distributed via email, clogging up inboxes and increasing the possibility of a data discrepancy.
Case Study
A76ers’ Data Intelligence SLAM-DUNK
The Philadelphia 76ers, a part of Harris Blitzer Sports & Entertainment’s (HBSE) portfolio, had a data ecosystem consisting of over 130 data sources. Managing and expanding this data infrastructure was becoming increasingly difficult and time-consuming. The process of connecting to a new data source could take weeks, severely limiting the bandwidth of the data team. The fixed timelines surrounding live events made flexibility and agility of data operations paramount. The existing data consolidation procedure was not scalable and was preventing the team from fully focusing on uncovering the insights the data could provide.
Case Study
IKEA Lays the Foundation for Future Growth by Unlocking Insights Within Its Data
IKEA Austria was facing challenges in consolidating data from various sources, which was crucial for understanding the needs of its customers and preparing for future growth. The company was dealing with multiple data sources and using the services of several agencies, which led to data silos and unavailability of data. Data quality was also a significant issue, with different KPIs and naming conventions used for campaigns on different channels, making reporting on campaign performance extremely difficult. The company was also facing challenges in terms of data accessibility, with global teams at IKEA having to wait for days, even weeks, for the information they needed.
