Analysis of 55 million product SKUs. Aggregated and anonymous data from more than one trillion visits to 4,500 retail websites. Billions of data points flowing through Adobe Experience Cloud. It’s no wonder our holiday shopping predictions are the most comprehensive and accurate in the industry.
View the report, Adobe Digital Insights 2017 Holiday Shopping Predictions, and learn:
Total forecasted online holiday revenue, broken down by day and device
Top gifts on consumers’ wish lists this holiday season
Best days for buying based on discounts and out-of-stock risks
The risk reporting environment for banks has changed. Regulatory
imperatives that were largely driven by the financial crisis of 2007—
such as Dodd-Frank, Principles for Effective Risk Data Aggregation
and Risk Reporting (BCBS 239) by the Basel Committee on Banking
Supervision (BCBS), Comprehensive Capital Analysis and Review
(CCAR) and others—are impacting banks around the globe. These
imperatives are forcing banks to rethink and reinvent how their
systems integrate and how data from across the bank flows into
the aggregated risk and capital reports required by regulatory
agencies. Banks must be able to convey to agencies that the data is
complete, correct and consistent in order to establish that the reports
i. How automation and integration can work together to unify people, process, and technology. The security community has begun to embrace automation as a solution to handling tedious, repetitive tasks, allowing skilled staff to focus on more strategic and advanced endeavors. As destructive threats continue to increase, automation balances machine-based analysis with human-based domain knowledge to help organizations achieve optimal workflows in the face of staff shortages and alert fatigue. This SANS survey explores some of the misconceptions and facts around automation and how it can become a natural extension of individuals and teams trying to do their day jobs more effectively.
Marketing automation is quickly becoming a competitive necessity for most organizations. According to a recent Demand Gen Report, 42% of b2b marketers identified marketing automation as the tool they plan to test or deploy in 2016—beyond predictive analysis, account-based marketing, lead nurturing, and attribution modeling.
Download this white paper to discover how to use marketing automation to attract, engage, and convert buyers across all marketing channels by streamlining workflow, monitoring social, and managing content.
Published By: BlackLine
Published Date: Aug 06, 2018
When did reconciliations become a living nightmare?
Demanding deadlines. Strict requirements for review and supporting documentation. Endless piles of reconciliations to approve?that were due yesterday.
Reconciliations are one of the most labor-intensive, yet critical controls processes within any organisation. Even the smallest mistake can compromise the integrity of your balance sheet and create discrepancies in your financial close.
There is a simpler way to perform your reconciliation process that allows you to focus on analysis, risk mitigation, and exception handling.
Join us for this webinar to find out what this is. You will learn how to:
Automate daily reconciliations for continuous control and validation
Gain better visibility into the quality, accuracy, and timeliness of a reconciliation
Develop a seamless and streamlined workflow for preparation, approval, and review
Published By: BMC ASEAN
Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps.
The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
The content for this excerpt was taken directly from the IDC MarketScape: Worldwide Enterprise WLAN 2013-2014 Vendor Analysis by Rohit Mehra (Doc # 231686). All or parts of the following sections are included in this excerpt: IDC Opinion, In This Study, Situation Overview, Future Outlook, Essential Guidance, and Synopsis.
The Mechanical Analysis Division of Mentor Graphics (formerly Flomerics) provides the world's most advanced computational fluid dynamics products. Our simulation software and consultancy services eliminate mistakes, reduce costs, and accelerate and optimize designs involving heat transfer and fluid flow before physical prototypes are built.
IBM Security QRadar Incident Forensics optimizes the process of investigating and gathering evidence on attacks and data breaches, using full network packet capture data to deliver insight and analysis that cannot be achieved using only log source events and network flow details.
Optimize the process of investigating and gathering evidence on attacks and data breaches with Network Forensics software. Learn how using full network packet capture data can deliver insight and analysis that cannot be achieved using only log source events and network flow details.
A powerful signal integrity analysis tool must be flexibility, easy to use and integrated into an existing EDA framework and design flow. In addition, it is important for the tool to be accurate enough. This report reviews a validation study for the Mentor Graphics HyperLynx 8.0 PI tool to establish confidence in using it for power integrity analysis.
Over the years, two major approaches to SERDES simulation have emerged and gained popularity: time-domain (or bit-by-bit) and statistical. Both are used to build the eye diagram and bit-error ratio (BER), and each has its benefits and limitations.
ROI is based on the analysis of differential cash flows. In the case of remote data acquisition and aggregation systems for fuel tank operators, it is based on calculating the cost of acquiring and aggregating the data manually and compared to the total cost of owning, maintaining and operating an automated data acquisition and aggregation system.