Published By: BMC ASEAN
Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2
The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
Published By: BMC ASEAN
Published Date: Dec 18, 2018
The business world is entering an age of the digital “haves” and the digital “have-nots.” In fact, research firm Forrester anticipates a growing “digital crisis” in its 2018 predictions, noting that 60% of CIOs and other executives it surveyed say they’re behind in their digital transformations. Meanwhile, Forrester expects one in five CEOs will fail to act on digital initiatives and put their firms in serious jeopardy as a result.
Savvy organizations are embracing cloud, the Internet of Things (IoT), artificial intelligence (AI), and other transformative technologies to solve meaningful business problems and achieve their strategic priorities. Everyone else is getting left behind.
Nowhere is this fork-in-the-road moment more apparent than in how enterprise IT teams deliver and manage services, to employees and customers alike.
The ability to observe, diagnose, and subsequently improve the performance of business-critical applications is essential to ensuring a positive user experience and maintaining the highest levels of employee productivity and customer satisfaction. The challenge of establishing an effective application visibility and control function is only growing, as trends such as mobility, virtualization, and cloud computing fundamentally alter datacenter and application architectures.
With NetScaler Insight Center enterprises get:
• Unparalleled application visibility and invaluable operational intelligence;
• Increased operational efficiency, as troubleshooting and capacity planning efforts are greatly simplified;
• An optimized user experience that drives greater employee productivity and customer satisfaction;
• Increased assurance that governing SLAs will always be met; and,
• Reduced total cost of ownership, based on having a low-cost, low-impact solution—particularly compared to traditional
Gain Immediate Value from Your Connected Factory Architecture!
Imagine if you could reconfigure your production line in days instead of weeks. Or if you could cut long search times for parts in half using factory wireless across a connected factory architecture.
These are only a few of the reasons why leading manufacturers deploy Cisco’s Connected Factory Solution.
Now you can try out these new technologies and capabilities on a small scale, with low financial risk in your own plant with the Cisco Connected Factory Starter Kit. Create a living lab and test out one or more specific use cases. Use it as a demo to get buy in from stakeholders. Or get one production line up and running immediately and roll out a more comprehensive deployment later on.
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time.
This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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
Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling tools and techniques arrives in the nick of time, because new technical and regulatory realities demand that enterprises maintain scrupulous awareness of their data and how it is used. Data modeling is no longer for databases only, no longer for technologists only, and no longer optional.
How Windows Phones Combine Email, Messaging, Voice, and Presence in a Secure, Collaborative Environment. This paper explains why unified communications is essential and why Windows® Phones are ideally suited to serve as the "mobile connection" in a unified communication environment.
This free, one-day course covers an introduction to Mobile BI Applications and Mobile App architecture, interactivity and design techniques, and how to develop and deploy a fully-functional Mobile App. Students will spend the afternoon session exploring MicroStrategy software with hands-on, instructor-driven exercises.
Learn about enterprise business intelligence (BI). Taught by a MicroStrategy expert, this free, one-day class includes core principles of business intelligence, product demonstrations, and hands-on exercises.
Learn more about Business Intelligence for the iPad and the iPhone. Discover how beautiful dashboards display brilliantly in an instant. Gain quick access to key insights that you can share with your colleagues to drive better business decisions. Learn more.
Learn how savvy business leaders and HR professionals are making data-driven decisions by leveraging the power of workforce analytics. This white paper walks you through common obstacles executives face when it comes to strategic workforce analysis.
We will go over a brief introduction of what workforce analytics is, and take a look at why it is sometimes so difficult to get the information we need out of our HR or Business Intelligence systems. We will also dive into the important metrics we should consider as HR professionals and what metrics will ultimately drive your business forward.
47 business outcome studies were conducted for clients across multiple industries for the 2011 Business Outcomes Studies Report. It demonstrates the value of online talent measurement solutions against metrics specific to the goals of each organization.
In the context of these current vulnerability announcements, there is definite cause for concern: vulnerable systems are widespread, they can be exploited remotely, and the exploitation itself seems relatively simple. This means that we likely have only a short window of time before attacks become widespread.