Oracle DaaS vs. Factiva

Best scenario is digital advertising campaigns where there is a specific data need like purchase based targeting or account based marketing and there is room to generate new consumers. Worst scenario when you have a very specific set of consumers or objective to reach that would benefit from the additional users reached within the modeled portion of the data.

Incentivized

Factiva is particularly useful when I work on securities litigations involving shareholder lawsuits -- i.e. shareholders who bought and sold shares during a specified class period when the company was misrepresenting, for example, its financials. Specifically Factiva is quite useful in helping me understand what company events were known by the market and when they were known. Factiva has also been useful in helping me on various research studies. It is less relevant for other types of litigation that I work on (i.e. Patent litigation, etc).

Incentivized

• Customer Service
• Transparency
• Connect ability

Incentivized

• Putting broad swaths of news in one place
• Organizing information
• Constant updates

Incentivized

• Prices and plans are higher not for mid level companies.
• Not supported to all programming languages.
• Need to go with more detail in user interface.
• Provide more support to customers.

Incentivized

• Lengthy setup for searches
• Repeated articles appear frequently
• Unannounced interface changes were unpleasant surprises

Incentivized

Oracle is fast enough to use also we can Match Data About Matching and Enriching Record sMatch Data in Oracle Sales Match Data in Eloqua Match Data in Other Oracle Cloud Applications Export Account Hierarchies, Manage Mappings Typical Workflow for Using Mappings Explore the Mappings Page Create Mappings Create New Mappings Create Mappings for Oracle Sales Create Mappings for Eloqua Create Mappings for Other Oracle Cloud Applications Edit Mappings Edit Existing Mappings Edit Sales Mappings Edit Marketing Cloud Mappings. these are my favourite topics that I use in Daas

Incentivized

Each of the tools I have described share the same kind of premise: the main thing they do is source and collect media content. Then to varying degrees they run filters against this content and produce a range of data visualisations and ways of slicing the data and content. Factiva's strength lies more in the sourcing of content than in the manipulation of the results (much like the others do with more sophisticated dashboards and visual interpretations). We chose it because of the integrity of its sourcing breadth. It doesn't matter so much about the display of results because the source material you're working with isn't as dynamic as say social media.

Incentivized

• Costs are increase but production is also increase.
• Need more UI features.
• Better DB integration provide more support to the code.

Incentivized