Silo

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Silo

Funds, assets, or anything else kept separate from other funds or assets of a similar type. For example, an investment company that manages both Islamic funds and conventional mutual funds must keep the Islamic funds siloed in order to prevent violations of the sharia.
References in periodicals archive ?
Are you ready to tear down your data silos and start building a 360-degree view of your customer?
The white paper reviews steps marketers can take to break through data silos and shows how companies that have overcome data and messaging silos are likely to experience higher optimization and better results in specific areas of customer engagement, including customer capture rate, email prioritization, cross-channel integration, and customized messaging based on past purchase behavior.
unstructured, cloud storage and big data silos," Lowans advised.
First, CISOs need to evaluate current implementations of DCAP solutions against data security policies that address database, unstructured, cloud storage and big data silos," said Lowans.
After the information has been acquired from data silos, it must be presented in a context-appropriate view--for example, a policy document or claims form.
Its cloud-based approach breaks down the barriers between data silos to tap into the valuable information needed to make better decisions, faster.
WITH THE ADVENT of big data came the information explosion and along with it came the problem of data silos.
By streamlining multiple data silos the solution allows customers to avoid the “cloud sprawl” which occurs when several devices are connected to multiple cloud providers.
Unique capabilities like Cloud Search and OneLogin for iPad break down SaaS data silos and increase productivity.
RELAY employs a universal data model, using its proprietary Conductor technology, to integrate various systems and applications into a single workflow, thereby eliminating data silos and the need for duplicate or staggered data entry.
This synergy is aimed at helping manage legacy pipeline data, minimize data silos, improve field data collection and implement data model standards.
Gartner point to the issues of data quality, multiple data silos, unclear data ownership and lack of business involvement as holding back the success of data warehousing.