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
Todays 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 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.
Todays corporate networks are more important to business objectives than ever before. Consequently, greater amounts of sensitive data traverse both wired and wireless networks. This plethora of valuable data in today's enterprise attracts an increasing number of hackers and malware applications. However, the inherent connected intelligence and distributed nature that makes the network a treasure trove for cybercriminals can also empower the network to be a proactive security tool. Through traffic visibility, and segmentation, today's enterprise network can prove itself to be a sensor and enforcer for security
HP HAVEn is the industrys first comprehensive, scalable, open, and secure platform for Big Data. Enterprises are drowning in a sea of data and need a trusted partner to help them. HP HAVEn has two primary components: a platform and an ecosystem. Together, the platform and the ecosystem provide the capability to handle 100 percent of your enterprise datastructured, unstructured, and semi-structuredand securely derive actionable intelligence from that data in real-time.
Zebras broad range of enterprise-level, healthcare-designed, end-to-end solutions provides a wealth of benefits throughout a healthcare facility, enabling clinicians, staff and administrators to sense, analyze and act in real time. Identity solutions can help improve accuracy and enhance patient safety, deliver greater operational efficiency and caregiver confidence, and improve the patient experience. Mobility solutions help improve staff communication and collaboration with enterprise effectiveness and workflow efficiency. Intelligence solutions offer greater visibility to data on patients, staff, assets and the facility overall for better decision making.
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.
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.
Published By: SRC,LLC
Published Date: Jun 01, 2009
We work in an ever-changing landscape of competitors, market forces, customer relationships, partner alliances, political and regulatory pressures, and global climate effects. The common mechanism for coping effectively with change is to refer to canned reports and dashboards, dump reporting data into a spreadsheet and look for answers to today's questions. All too often, we have to rely on estimates rather than models, and gut feel rather than data, because we can't get answers in a timely fashion. Yet we know that the answers lie hidden in the morass of corporate data.
Mid-size enterprises face the challenges of managing advanced threats plus staff and budget constraints. This on-demand webcast explains how RSA Security Analytics provides visibility, threat intelligence, and analytics and how you can start small.
Read what makes the Interaction Center Platform a true-all-in-one solution for the contact center, the enterprise and the cloud, from Interactive Intelligence president and CEO Don Brown, and Tim Passios, senior director, Solutions Marketing.
Insurers must combine information from disparate systems, applications, and business units to create an enterprise view of risk. By developing a process to incorporate geocodes into location intelligence, insurers can build a more accurate assessment of risk.
Enterprise Strategy Group shares why client-side deduplication is the best. Dedupe 2.0 leverages intelligence and awareness at the source, backup server, and storage device. In these scenarios, the awareness of what data is already in the deduplicated
Download this white paper now and learn high level definitions, opportunity identification, and future potentials for: Service Oriented Architecture (SOA), Enterprise Resource Planning (ERP) Anytime, Anywhere Availability, Mobile Devices, Web 2.0, and Report Cards or Balanced Scorecards as a Business Intelligence (BI) capability.
This seminar will show you how next-generation solutions are solving the "big data" challenge, and are providing enterprises with the visibility and analysis they need to move from post-incident forensics to pro-active and fraud intelligence.
SMEs need confidence to act boldly on business intelligence and take advantage of business opportunities. The key is to better understand all facets of all the business and to enable data-driven decision making as events unfold.
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.
Read an analysis of how the addition of SAP Sybase ASE as SAP's preferred database for SAP Business All-in-One solutions can reduce the overall total cost of ownership (TCO) for the database and optimize performance of SAP Business All-in-One.
CDWs Technology Insights guides provide a high-level, informative take on todays most pressing IT solution areas and related issues. Speaking to the interests and concerns of IT managers and their staff, as well as their enterprise counterparts, the guides provide up-to-date summaries, strategic guidance and best practice tips on the technologies driving IT operations forward.
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.
Cyber threat intelligence is unquestionably a hot buzzword in the security industry these days. It is being used to seek venture capital and fund startups. It is being pitched to the enterprise market by providers and consultants. However, in this paper, we argue that the majority of what is being billed as threat intelligence isnt. Its data. From lists of bad IPs or application vulnerabilities to malware signatures, social media data or indicators of compromise (IOCs), none of these things are intelligence. Theyre data.
In this white paper, we define the difference between intelligence and data, and then illustrate the theoretical discussion in a concise case study in the tangible terms of a real-world practitioner and an actual event.