Published By: LogRhythm
Published Date: Jan 24, 2013
A SANS functional product review of LogRhythm version 6.1, conducted by senior SANS Analyst Dave Shackleford. It shows LogRhythm's SIEM toolset capable of analyzing and reporting on security data in many differed ways with easy-to-use features.
Key Findings ? Budgets for analytics tools and talent are going up, as marketing leaders see analytics as a business requirement and source of competitive advantage. ? Marketing analytics users rate functionality, performance, product roadmap and future vision as the primary factors they consider when evaluating vendors. ? Customers of these vendors also report putting a premium on user experience and ease of use among their requirements. ? Digital marketing analytics vendors are addressing these needs by adding more advanced features and investing in upgraded and flexible user interfaces, including intelligent assistants.
The rapid acceleration of Distributed Energy Resources (DER) presents a range of challenges for electric utility management. The good news is that a strategic approach, one that taps the power of data analytics, can meet the rising need to manage DER.
Download this white paper, to learn about the current state of DER and how to get started with a smart grid analytics solution:
• Cost-benefit analysis
• Challenges of integrated DERs
• Planning considerations
• Advanced analytics tools and predictive grid analytics benefits
• Choosing a platform
Data is the new currency. Is your organization capitalizing on the full potential of data analytics? In this big data primer, you will learn about the 3 key challenges facing organizations today: managing overwhelming amounts of data, leveraging new complex tools/technologies, and developing the necessary skills and infrastructure. And since storage is where your organization's data lives, it’s a pivotal part of the infrastructure jigsaw puzzle. Thus with a “tuned for everything” storage solution that is purpose-built for modern analytics, you can confidently harness the power of your data to drive your enterprise forward.
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set:
• Enterprise-class relational database query and management system
• Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools
• Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
Security operations centers need advanced analytical tools that can quickly collect and shift through security data. This brief looks at the latest options and processes to speed up detection of advanced threats.
How do we get more visibility into attacks across our environments, improve our response, and reduce response time? SANS Analyst, James Tarala, provides insight on the solution by automating functions that should be automated and connecting the dots between detection systems and response. Connecting these dots and applying intelligence provides responders rich context into the observed behaviors for taking action. Integrating these processes improves accuracy, while reducing time, manpower, and costs involved in detecting and managing events. This white paper explores how to achieve this.
There are many new ways Big Data analytics can significantly boost marketing and promotional efforts through real-time and historical analysis of online data, such as clickstream or purchase transactions. Unstructured data based on social media—even photos and video—offers enormous potential when analyzed with the right tools.
"ACG Michigan, a large auto insurance underwriter in the US state of Michigan, needed a user-friendly system that would enable its agents (internal and independent) to churn out precise and consistent policy quotes and underwriting decisions. They turned to FICO Blaze Advisor decision rules management system to create an enterprise decision management framework to execute decisions.
Learn more on how FICO Blaze Advisor helped ACG Michigan automate its underwriting
FICO (NYSE: FICO), formerly known as Fair Isaac, is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company's groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries. FICO provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimiz
Siloed data sources, duplicate entries, data breach risk—how can you scale data quality for ingestion and transformation at big data volumes?
Data and analytics capabilities are firmly at the top of CEOs’ investment priorities. Whether you need to make the case for data quality to your c-level or you are responsible for implementing it, the Definitive Guide to Data Quality can help.
Download the Definitive Guide to learn how to:
Stop bad data before it enters your system
Create systems and workflow to manage clean data ingestion and transformation at scale
Make the case for the right data quality tools for business insight
Published By: SRC,LLC
Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
Blue Hill provides guidance on 1) the Customer Journey leading to a
new generation of analytic tools, 2) key value propositions associated
with moving to tools such as IBM Cognos Analytics and IBM Watson
Analytics, and 3) recommendations for best practices in maximizing the
value of insightful and predictive analytics for enterprise data.
In today's big data digital world, your organization produces large volumes of data with great velocity. Generating value from this data and guiding decision making require quick capture, analysis and action. Without strategies to turn data into insights, the data loses its value and insights become irrelevant. Real-time data inegration and analytics tools play a crucial role in harnessing your data so you can enable business and IT stakeholders to make evidence-based decisions
Mobile is the new normal for users to connect and consume content, you need to consider apps, mobile integration,security, analytics, development tools, life-cycle management, various mobile stakeholders, and the overall enterprise mobile ecosystem.
Learn about how your contact centers are a world of innovative and intricate technology and how with the right analytical tools you can maximize your organization’s potential by optimizing your customer’s experience.
When senior leaders of small and midsize companies invest in analytics tools, they can improve operating results by enabling managers to make fact-based, data-driven decisions. Learn how in this report from Nucleus Research.
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership.
The last decade has seen rapid advances in connectivity, mobility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and innovation. This revolution has even created entirely new business models.
This e-book gives manufacturers the tools to lead the Quality 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
Financial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools. You’ll learn about:
• The new industry intrigue with artificial intelligence and machine learning.
• How these emerging solutions can benefit financial institutions.
• The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
Published By: TalentWise
Published Date: Jan 17, 2014
Start off the New Year by reviewing key HR trends for 2014. Our brief whitepaper offers insights into what's hot for HR this year including mobile-friendly solutions, video, talent analytics, and social tools.