Published By: BMC ASEAN
Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, theres also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challengesmaking enterprise goals of enabling cost savings via smarter operations and decision making come to fruition.
BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM
employs a differentiated approach with a more holistic
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 solutionparticularly compared to traditional
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
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.
Published By: SRC,LLC
Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decisionâmakers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the businessâprocess changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
Discover the unique support for data warehousing and business intelligence offered by the IBM DB2 portfolio. This white paper shows how an IBM System z server, integrated with the IBM DB2 family of solutions, can help you meet requirements for data warehousing and business intelligence.
Sound, responsible financial management is at the heart of business success. Download this webcast to learn more about the Microsoft solutions for financial management and business intelligence (BI) that can help you transform your business into a high-performance workplace. We describe how Microsoft business solutions are designed to help you work more efficiently by focusing on the tasks that add the most value to your business and enable you to make more informed decisions based on timely, accurate information.
Read about IBM CognosŽ Express is the first and only integrated business intelligence (BI) and planning solution purpose-built to meet the needs of midsize companies, delivering essential reporting, analysis, dashboard, scorecard, planning, budgeting & forecasting capabilities in one affordable solution.
In this white paper, you'll read why traditional planning and forecasting processes are not enough in today's environment. And, you'll learn about the three capabilities that form the foundation of modern, dynamic planning and forecasting processes. If you want to move beyond the traditional finance role and play a more visible, pro-active role in supporting business decision making, read this white paper today.
Read this whitepaper from FSN's Gary Simon to learn how disclosure management solutions from IBM can extend the value of your existing Business Intelligence tools.
Learn more about Big Data and Business Analytics through IBMs latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
Enterprise Resource Planning (ERP) software proves a company with a fiscal and operational system of record upon which to run their business, while also providing a level of visibility and transparency across their business processes.
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use.
Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights.
Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
Published By: Oco, Inc.
Published Date: Nov 12, 2008
Many companies have business intelligence (BI) tools and infrastructure that serve their business’ needs; however, certain functional departments, business units, or key business initiatives often don’t yet have the BI tools that they need in place. There is a new approach to BI to address those pressing business needs that leverages the existing BI infrastructure and can deliver value to the business in weeks rather than months and at a fraction of the cost of a traditional BI solution. Learn how Complementary BI leverages Software-as-a-Service (SaaS) BI solutions to address targeted business needs in a way that complements in-house BI systems, leading to a win-win situation for business users and IT analytical tools to business users.
Published By: Oco, Inc.
Published Date: Dec 10, 2008
In today’s tough economic times, more and more companies are looking to Software-as-a-Service (SaaS) on-demand business intelligence (BI) solutions to assess how they can quickly reduce inventory levels, assemble information, analyze operations and gain new insights in how to improve performance.
Artificial intelligence and related forms of advanced analytics hold enormous potential for marketers to expand and deepen customer intelligence, improve business processes, and deliver engaging customer experiences. But many marketing organizations are just getting their feet wet in leveraging these technologies. To learn about the opportunities and challenges, IIA spoke with Analise Polsky, Business Solutions Manager, SAS Best Practices and Jonathan Moran, Principal Product Marketing Manager, SAS Customer Intelligence Solutions.
After years of being chained to the old ideas of office productivity, businesses are realizing that liberated employees are empowered employees. When you free people from the tethers of the office, amazing things start to happen: productivity rises, borders and barriers disappear, innovation replaces enervation, and the quality of work improves as employees quality of life improves.
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