Published By: Oracle CX
Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been
top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar
database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as
quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data
from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure
1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP
database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks
can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data.
In-memory databases have helped address p
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data.
In-memory databases have helped address p
In this Advertising Intelligence Report, you'll learn how to accurately analyze competition within markets and apply that knowledge to your next media buy.
Published By: Procore
Published Date: May 13, 2019
As the construction industry becomes more competitive, regulations increase and skilled labour becomes more selective; the one thing that will define your company from the competition is your data.
The best companies use real, situational data in pre-task analyses daily to report on and improve their Quality, Safety and Productivity processes and performance. Download your copy to learn:
• The importance of including quality, safety and productivity in your pre-task analyses
• Using the three-part task-analysis approach
• How to collect meaningful data to track performance
In today's economic downturn, organizations are looking for ways to improve the way they do business to keep ahead of the competition and improve revenue. Increasingly, organizations are finding that the benefits of BI can be complemented when combined with predictive analysis.
Last year's Super Bowl was disappointing on every level and simply could not live up to the hype. 2015 could not have provided a more opposite result. This was the year of the emotional rollercoaster. NBC is known for their heartfelt sports coverage and has mastered the art of storytelling, all on full display for Sunday's game. The network leveraged all their best tactics with outstanding results. The game was high drama at its best and kept the audience engaged to the very end.
Brands had serious competition from the games itself this year, but brought their own flood of emotions with some familiar storylines that garnered significant social conversation volume to very unexpected commercials eliciting strong negative feedback. In this analysis we will examine how brands used social media to continue the conversation, leverage assets and advocates, and even create intentional mistakes to earn attention.
Online retailers are always on the lookout for ways to improve the online shopping experience and stay ahead of the competition. Adding consumer product reviews is one such way. As part of the analysis of the Spring 2007 edition of the Top 100 Online Retail Satisfaction Index, we delved into the data specific to consumer product reviews to answer pertinent questions.
Online retailers are always on the lookout for ways to improve the online shopping experience and stay ahead of the competition. Adding consumer product reviews is one such way. As part of the analysis of the Spring 2007 edition of the Top 100 Online Retail Satisfaction Index, we delved into the data specific to consumer product reviews to answer pertinent questions.
The third installment of a bi-annual study produced by Anthem Marketing Solutions reveals that the competition between physical stores and online retailers is rapidly shifting across a range of prices and item categories. While common wisdom dictates that better deals will be found more frequently online, the analysis concludes that shopping in stores can yield much higher savings when shoppers are looking for the lowest price.
