Published By: Attunity
Published Date: Nov 15, 2018
IT departments today face serious data integration hurdles when adopting and managing a Hadoop-based data lake. Many lack the ETL and Hadoop coding skills required to replicate data across these large environments. In this whitepaper, learn how you can provide automated Data Lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Intent-based networking is the difference between a network that needs continuous attention and one that simply understands what you need and makes it happen. It’s the difference between doing thousands of tasks manually and having an automated system that helps you focus on business goals.
Cisco DNA is the open, software-driven platform that turns vision into reality. Virtualization, automation, analytics, and cloud, all in one architecture.
Published By: Riverbed
Published Date: Jul 17, 2013
Your business is complex. Big data promises to manage this to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, causing delays and downtime. Forrester predicts this will worsen. To combat this onslaught, you need machines to analyze conditions to invoke automated actions. To perform adaptive automation, you need IT analytics, a disruption to your monitoring and management strategy. This report helps leaders prepare for IT analytics that turn big data efforts inward to manage the technology services that run your business. Register to get the full report.
For decades, learning in a corporate environment consisted of a day or a week of classroom-based training. However, technological advances delivered on the promise of a more complex learning protocol with automated, virtual, and experiential elements. At Connections 2014, SilkRoad’s annual user conference, a panel of learning professionals convened to discuss five major learning themes this year, including integration, mobility, engagement, compliance, and analytics.
Published By: Datawatch
Published Date: Feb 03, 2016
Some companies estimate that up to 80 percent of their analysts’ time is spent on data preparation. Thorough, automated data preparation, however, can quickly transform raw information into reliable, consistent data sets ready for analysis. This report from Gartner details why information management and business analytics leaders must introduce data preparation into their big data initiatives in order to improve both the understanding of the data, and the productivity of analysts. Read the report now to learn more.
Published By: Genesys
Published Date: Feb 27, 2018
PureCloud was designed to simplify the way you manage customer relationships. It’s powerfully simple, fast and intuitive. But you don’t have to take our word for it. Get a better look at the benefits and tools of Genesys PureCloud in a new report by Nucleus Research. For their study, Nucleus examined past and current customer experiences, breadth of functionality and results of use.
From rapid cloud deployment to rolling software updates, PureCloud enables best-in-class customer experiences today and well into the future. Read the full report to learn more about:
• PureCloud tools like automated omnichannel routing, social channel management, outbound dialing, integration with other software and analytics and reporting.
• Benefits of the platform such as lower costs, increased flexibility, improved time to value, and better workforce optimization.
• Current customer success stories and the future of PureCloud.
Published By: TeamQuest
Published Date: Sep 05, 2014
TeamQuest Director of Market Development Dave Wagner and Chris Lynn, Safeway's Capacity Manager and Performance Analyst, cover the application of automatic, exception-oriented analytics to a wide variety of IT and business metrics in order to simultaneously optimize service performance and IT cost. Multiple conceptual approaches are shared, including pros and cons. Most of the presentation includes real examples by which Safeway has integrated performance, capacity, business, and power data into an automated optimization process spanning 1000s of servers and virtual servers and their applications.
Published By: Workterra
Published Date: Nov 10, 2017
Mid-market HR today is being asked to be a business partner in areas that range from compliance to employee engagement. They need to be able to connect the dots among various sources of employee data to deliver better-informed business decisions to help achieve strategic goals.
Connecting those dots and delivering those results demands more HR firepower and greater data visibility than the manual or homegrown processes and systems often used by mid-market organizations can deliver. On the other hand, most mid-market companies aren’t ready for the intricacies or expense of human capital management (HCM) systems designed for enterprise-level organizations.
The answer for forward-thinking HR leaders who want to boost their team’s capabilities and play a greater role in their company’s future is having core HR functionality designed into an integrated benefits administration solution.
Automated HR that delivers core HR features as part of its architecture — not as an afterthought or a separate, stand-alone module — gives HR leaders:
• The tools they need to better handle their administrative work
• The data and analytics necessary to better coordinate programs and more confidently make strategic decisions
• A user experience that makes life easier for HR and employees
Are you ready for the digital revolution? Digital transformation is fundamentally reshaping the way insurers do business.
From automated data integration, mobile implementation and analytics, digital transformation spans across your enterprise operations This white paper provides you with the roadmap you need to build a comprehensive enterprise-wide digital transformation plan that makes your insurance organization not only competitive, but differentiated.
• Understand the forces behind digital disruption: customers, competitors, costs and compliance
• Learn how to map, prioritize and identify opportunities for digital transformation
• Leverage a process maturity model to advance your digital position
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Published By: TeamQuest
Published Date: Jul 11, 2014
In this whitepaper you will learn about the following:
• Analytics and today’s optimization challenges
• What REALLY matters
• Desired state and results
• Methodology and ideation examples
– Business and service aligned
– Automated and predictive IT analytics
Download to learn more!
To build a successful sales engine, B2B sales leaders must continually find ways to increase levels of productivity. Today, automated tools and analytics are becoming the key differentiator of highly productive sales teams. Are you ready to make your sales team more effective, efficient, and enabled?
This whitepaper covers the best practices, methods and standards for time off accruals that are affecting PTO policies and will explain how a customizable, automated time and attendance platform can provide workforce analytics and labor management solutions.
This webinar covers the best practices, methods and standards for time off accruals that are enhancing PTO policies nationwide, while showing you how a customizable automated time and attendance platform can provide workforce analytics and labor management solutions — all from your web-browser.
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud
and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes
need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a
Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Profitability analysis is important to all companies. But in times of economic uncertainty, it becomes even more critical because organizations need a comprehensive and forwardlooking view of profitability to ensure that they can remain financially viable, whatever the economic circumstances. For companies to be successful, they need automated systems that enable interactive profitability analysis that can be shared across a broad swath of users. They also need robust, advanced analytics, to provide detailed granular metrics for assessing profitability and measuring performance. IBM offers solutions that can meet those needs.
Learn how to use marketing automation tools to streamline your process and push leads quickly through the pipeline without increasing your spend. Marketing automation suites offer an integrated option for generating and managing leads with landing page and email marketing tools, automated scoring and grading, drip nurturing emails, micro-level analytics and anonymous visitor identification.
To operate effectively in different markets, Finnish manufacturer Meka Pro needed to be able to adjust its pricing and manufacturing strategies to each locality, but had no insight into their own data. Read this case study to learn how Meka Pro used IBM® Cognos® software modules to make faster, better business decisions and improve profitability.
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed.
What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
Published By: Riverbed
Published Date: Jul 15, 2014
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your
existing monitoring and management strategy.
Published By: LiveHive
Published Date: May 26, 2016
Using a multi-touchpoint strategy with automated email and call scheduling, sales organizations can quickly reach more prospects to maximize outreach efforts and improve connection rates. Download LiveHive's latest eBook to learn the five essential elements needed to implement and manage an effective multi-touchpoint sales strategy.
Companies are trying to improve efficiencies and performance of many real-time operational business practices, including customer experiences, inventory & purchasing, manufacturing yield, BAM and BPM. This white paper explores strategies and capabilities that best-in-class companies are employing to improve operational performance.
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.