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Published By: OneLogin     Published Date: Oct 24, 2017
Corporate data spreads across an ever-growing number of applications. Users (employees, contractors, partners, and customers) access those applications over a wide range of devices. Those devices take different forms: desktops, laptops, tablets, smartphones, smartwatches. Each device may use a different operating system. The locations from where people access your data can be on-premises or off, and in any number of places around the globe. Data, users, apps, devices, locations—the sheer number of permutations and combinations is mind-boggling. This complex nature of today’s IT environment opens security gaps and exposes your business to undue risk. To illustrate, try to envision all the permutations and possible entry points for risk in your organization. Imagine that you have 400 users, each using 25 apps. When you multiply those together, that’s 10,000 potential access permissions to manage. Access permissions change as users come and go, roles change, new apps are added, and
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OneLogin
Published By: IBM     Published Date: Jun 04, 2018
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Don’t miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
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business analytics, analytics solutions
    
IBM
Published By: IBM     Published Date: Jul 02, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years. As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical applications remain high performing, available, and secure. Another challenge relates to new requirements for accelerating the analysis of organizational data to near real time, much faster than previously possible with earlier incarnations of Business Intelligence (BI). Agile businesses are demanding faster access to the information contained within operational and business data stores to
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IBM
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: IBM     Published Date: Jul 09, 2018
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions. In search of instant analytical insights, businesses often prioritize data access and analysis over governance and quality. However, without ensuring the data is trustworthy, complete and consistent, leaders cannot be confident their decisions are rooted in facts and reality
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IBM
Published By: Group M_IBM Q418     Published Date: Oct 23, 2018
The EU General Data Protection Regulation (GDPR) has arrived. Every company doing business with European customers — regardless of location — must make considerable governance, people, process, and technology changes to comply with the new rules. While companies have made progress, more work remains. To succeed, they must tackle key challenges, including data identification, mapping, and access management. Despite the work ahead, forward-looking businesses understand GDPR is an opportunity. This is a transformation for a data-savvy world, with the potential to yield enhanced customer and business benefits. Investment in solutions with data privacy, security, and compliance offerings that can protect data no matter where it’s stored — on-premises and in the cloud — can ease companies along their readiness journeys and help them achieve and sustain compliance from May 25, 2018, and onward
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Group M_IBM Q418
Published By: TIBCO Software     Published Date: Aug 13, 2018
Every financial services firm understands the importance of data. More is better. Sooner is better. Accessing it, understanding it, and taking advantage of it before the competition is better. In the mid-2000s, Financial Services was the first industry to strongly adopt data virtualization as a disruptive, new technology for accessing and integrating more data, faster and more easily than ever before. Buy and sell side groups at the largest institutions led the charge, followed soon after by risk management and compliance units. The leading mutual fund providers, along with hedge funds, led the next wave of adoption. In recent years, commercial banks and insurers have accelerated their use of data virtualization. And today, analyst firms such as Gartner, Inc. and Forrester project continued data virtualization adoption for both first-time use at new firms and expanded deployments at existing sites. This whitepaper provides 10 examples of TIBCO Data Virtualization enabled application
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TIBCO Software
Published By: Menlo Security     Published Date: Jun 01, 2018
"Financial services institutions are high-value targets for cyberattacks because of the capital they control, the personal information on customers they maintain, and the fear an attack on a bank generates in the public. Phishing attacks on FSIs have risen steadily, especially employee credential theft - because once an employee’s credentials are stolen, cyberattackers can access customer information, employee data, even finances. While legacy security solutions claim to block up to 99.9 percent of cyberattacks, all it takes is one employee or contractor to open an email from an unknown source, download a file from a compromised website, or in any other way fall victim to a cyberattack. So, it’s time for a new approach: Isolation, also known as, remote browsing. Download this Financial Services Best Practices Guide to Isolation to learn how to best eliminate phishing attacks and web malware. "
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Menlo Security
Published By: Sage Software     Published Date: Jun 20, 2018
Data inundation and information overload have burdened practically every largescale enterprise today, providing great amounts of detail but often very little context on which executives can act. According to the Harvard Business Review, less than half of an organization’s structured data is actively used in making decisions. The burden is felt profoundly among finance executives, who increasingly require fast and easy access to real-time data in order to make smart, timely, strategic decisions. In fact, 80% of analysts’ time is spent simply discovering and preparing data, and the average CFO receives information too late to make decisions 24% of the time.
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sage enterprise management, bms, erp, bom, enterprise accounting, enterprise intelligence, drp, enterprise, mrp
    
Sage Software
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
The data maturity curve As companies invest more and more in data access and organization, business leaders seek ways to extract more business value from their organization’s data. 92 percent of business leaders say that to compete in the future, their organization must be able to exploit information much more quickly than it can today.1 Chief Information Officers (CIO) need solutions that will allow them to evolve their organization’s approach to data and drive real value with strategic decisions. This journey can be depicted in a data maturity curve.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 11, 2019
This report describes the results from a groundbreaking global study by Thycotic that reveals major risk and compliance gaps in how organizations manage and secure their privileged accounts and access to sensitive systems, infrastructure and data. The 2018 Global State of Privileged Access Management (PAM) Risk & Compliance report highlights where many organizations are failing to fully put security controls in place to protect their most critical information assets.
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Group M_IBM Q2'19
Published By: Time Clock Plus     Published Date: Feb 07, 2019
For most companies, the Human Resources department has a long history of guarding sensitive employee data. Rows of beige file cabinets line a back closet where only those with a key and knowledge of the filing system have access to the personal information of countless employees. The greatest risk to this data has always been fire or water damage, but that’s quickly changing with the emergence of online data storage.
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Time Clock Plus
Published By: Sierra Wireless     Published Date: Jun 19, 2019
The IoT is transforming the energy industry by eliminating tradeoffs between operation, SCADA systems, maintenance and new services for assets deployed in industrial and power facilities, buildings and across the grid. When it comes to building the best IoT system for your business application, it’s vital to keep your use case and business requirements at the forefront of your technical design strategy. In the energy industry, accessing and collecting data at the edge from disparate, heterogenous, multi-site, fixed topologies and transferring that data efficiently to the cloud to perform analytics and action business decisions is still the greatest challenge. Mission-critical data collected from the edge is integral to energy facility operations and cannot be excluded or corrupted.
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Sierra Wireless
Published By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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MarkLogic
Published By: Mimecast ABM Q4     Published Date: Nov 22, 2017
Mimecast Cloud Archive has long set the industry standard for enterprise information archiving, helping to keep corporate knowledge available, protecting and preserving it while simplifying management and administration. By aggregating data across multiple platforms, organizations gain long-term business insights and create a secure, digital corporate memory while at the same time reducing costs and risks for legal and compliance teams. IT teams can reduce administrative overhead with streamlined management and simplified data recovery. Anytime, anywhere access to archive data improves employee productivity and efficient workflow efficiency. Customers can rest assured that their data is always-available, always-replicated and always-safe.
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datenarchivierung, verantwortlich, eigentlich, organisation, it-mitarbeitern, wissensarbeiter, fuhrungsebene
    
Mimecast ABM Q4
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
    
Red Hat, Inc.
Published By: SAS     Published Date: May 24, 2018
Constant market shifts and changing customer preferences add to the challenge of outperforming your competitors and surpassing stakeholder expectations. But what can be done to steer your organization down the path to greater success? By now, we all know it’s not just historical reporting about the past that will provide the answers needed to drive a business forward. Everyone – from executives and analysts to frontline staff – must have access to insights about the future that will enable them to make the best decisions and take the actions needed to keep their organizations agile. This means the ability to peer into data, explore it, understand it, analyze it and produce insights that provide those aha moments and take actions on it. Such things cannot be done with multiple tools that are rigid, limiting and difficult to use. A new breed of business intelligence is required. Gone are the days when reports looked at singular issues, took possibly days or weeks to create, and required
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SAS
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: Good Technology Corporation     Published Date: Oct 23, 2012
As companies embrace the use of individual liable mobile devices to access corporate applications and data, Good provides guidance on creating individual liable usage policies.
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byod, bring your own device, security, policy considerations, device, enterprise applications, business technology
    
Good Technology Corporation
Published By: NetApp     Published Date: Dec 15, 2014
Organizations expect their IT departments to deliver a SAN storage infrastructure that can support faster rollout of applications and services, continuous and fast access to data in key applications, and efficient scale to address corporate data growth without comparable growth in IT expenses. This IDC white paper reviews the key SAN storage features required to meet such challenges and the NetApp SAN storage portfolio offerings that best address your needs.
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san storage, business workloads, access to data, data growth, it expenses, storage, data center
    
NetApp
Published By: Plex Systems     Published Date: Jun 06, 2014
Automotive metalformer, CCI, replaced 6 disparate systems with one single integrated ERP from the Plex Manufacturing Cloud, leading to operational efficiencies , immediate ROI, access to real-time data and a highly preventative maintenance schedule.
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plex systems, automotive, metal former, roi, cloud, manufacturing
    
Plex Systems
Published By: Plex Systems     Published Date: Jun 06, 2014
When a recall occurs, every second counts. Without being able to quickly access all records of inventory movement, tracking information becomes expensive, laborious and time-consuming. Read the Minimizing the Cost and Impact of a Recall and learn which cloud ERP features, such as data management, full traceability and active compliance you might be missing in your current ERP system.
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plex systems, faster usability, operations, erp, cloud, production, manufacturing, data center
    
Plex Systems
Published By: Epicor     Published Date: Apr 05, 2017
Today’s financial professionals have access to robust tools that offer a detailed picture of a company’s success in real time. With dashboards reporting in-depth data, a CFO can merely glance at a computer to analyze how well the business is doing in key areas. Despite the impressive technology available today, many businesses have yet to make a change. In a survey of 1,500 finance professionals, nearly half reported relying on gut instinct rather than hard data to make important business decisions. The survey—commissioned by Epicor and conducted by Redshift Research Ltd.—also revealed that a majority of CFOs and financial decision-makers are still relying on spreadsheets to interpret business data. In our “Instinct Meets Insight” eBook, you can explore the survey results and learn how a modern financial IT infrastructure lets decision-makers back up instinct with relevant data they can use to help their businesses grow.
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erp software, enterprise resource planning software, digital disruption, manufacturing erp
    
Epicor
Published By: Epicor     Published Date: Jul 06, 2017
It’s hard to make good decisions without good information. Having access to data, and the tools to quickly analyze that data, is essential. Without data, you are blind to how your business is performing and areas for improvement—all you have to go on is instinct. A robust business intelligence (BI) system can provide new insights to help steer your distribution organization clear of obstacles that impede growth—and toward the opportunities that enable it. A monthly report just doesn’t cut it anymore. You need real-time information, and if you’re running legacy software, it’s probably slowing you down.
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erp software, enterprise resource planning software, business intelligence, distribution, inventory management, distribution software
    
Epicor
Published By: Epicor     Published Date: Jul 06, 2017
You rely on cloud technology more than you may realize—when you post to social media, download music, or view your bank balance online. These everyday uses are not so different from the opportunities the cloud affords your business. Cloud technology has proven to do several things very well—improve cash flow, increase business capabilities, and simplify processes across the organization—all in a platform that’s more accessible and reliable than on-premises hardware. Migrating to the cloud brings faster access to the data and processes your business needs to compete and grow in today’s marketplace. Download this white paper from Epicor Software to learn why moving to the cloud is easier than you might expect.
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erp software, enterprise resource planning software, saas, distribution
    
Epicor
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