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By: HERE Technologies     Published Date: Mar 06, 2019
Many on-demand companies are starting to rely on fast, accurate and robust mapping and location technologies in order to stay competitive and to provide superior end-user experience. Find out how real-time, predictive and historical traffic data can be applied to traffic-enabled routing algorithms for vehicles and trucks, influencing individual route calculations. Plot multiple routes automatically by using matrix routing and waypoints sequencing. Discover how the HERE location platform is able to communicate updated ETAs to your customers in real-time. Once equipped with traffic-enabled navigation, your mobile application can adjust ETA calculations as traffic conditions change or in case the driver deviates from the planned route. These adjustments are communicated via an established connection between driver and dispatch/back-end, and can be manually or automatically shared with the customer As one of the world’s leading location platforms in 2018, HERE shares insights and solutio
Tags : location data, transport & logistics, location services
     HERE Technologies
By: TIBCO Software     Published Date: Feb 28, 2019
“Convergex takes a great deal of pride in making its clients’ interests and service needs of top priority,” says CIO Ann Neidenbach. “We like to tackle the industry’s toughest challenges—from complex trades to complex business solutions. Since regulation changes in 2008, there’s been a proliferation of places to trade. In the US alone, there are over 50 light pool (LIT) and dark markets. This makes it incredibly expensive, complicated, and very difficult for our customers to find best execution. They’re seeking liquidity and trying to figure out the best place to fill their orders. We’re trying to simplify that for them. “Convergex historically had consisted of several different affiliated companies, which meant that we had silos of trading systems, technology solutions and data. As a result, it was difficult to understand the revenue and profitability for each client across our businesses.” “My number one objective is to help us improve operational efficiencies, and I’m doing that in
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     TIBCO Software
By: Intel     Published Date: Feb 28, 2019
Keeping the lights on in a manufacturing environment remains top priority for industrial companies. All too often, factories are in a reactive mode, relying on manual inspections that risk downtime because they don’t usually reveal actionable problem data. Find out how the Nexcom Predictive Diagnostic Maintenance (PDM) system enables uninterrupted production during outages by monitoring each unit in the Diesel Uninterrupted Power Supplies (DUPS) system noninvasively. • Using vibration analysis, the system can detect 85% of power supply problems before they do damage or cause failure • Information processing for machine diagnostics is done at the edge, providing real-time alerts on potential issues with ample of lead time for managers to rectify • Graphic user interface offers visual representation and analysis of historical and trending data that is easily consumable
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     Intel
By: Nice Systems     Published Date: Feb 26, 2019
NICE has made a significant investment into AI and ML techniques that are embedded into its core workforce management solution, NICE WFM. Recent advancements include learning models that find hidden patterns in the historical data used to generate forecasts for volume and work time. NICE WFM also has an AI tool that determines, from a series of more than 40 models, which single model will produce the best results for each work type being forecasted. NICE has also included machine learning in its scheduling processes which are discussed at length in the white paper.
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     Nice Systems
By: Nice Systems     Published Date: Feb 26, 2019
NICE WFM 7.0’s Forecaster unlocks a high level of transparency into interaction history, allowing you to centrally forecast, schedule and manage contacts between multiple locations and ensure that site- and enterpriselevel objectives are met. With more than two thousand customers and two million users depending on its unparalleled ability to fine-tune the most precise forecasts, Forecaster allows you to plan and respond to the peaks and valleys of customer history through automatic collection of key historical data from all types of contact sources: • Automatic call distributors (ACDs) • Outbound dialers • Multi-channel routing platforms • Back-office employee desktops Download today to learn more.
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     Nice Systems
By: StreamSets     Published Date: Feb 13, 2019
Enterprise analytics has quickly evolved from a centralized business intelligence function for historical reporting and dashboards to a democratized capability where anyone can access, analyze and act on all available information, often in real-time while employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
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     StreamSets
By: TIBCO Software     Published Date: Feb 01, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
Tags : data, product, manufacturers, manufacturing, processes, technologies, analysis, quality, machine, analytics
     TIBCO Software
By: HERE Technologies     Published Date: Jan 22, 2019
To improve safety and mobility across its 5,600km road network, the City of Toronto forged a partnered with HERE Technologies for the provision of traffic, incident, and historical traffic data. Access to this data allows the city authority to see exactly what’s happening on its roads and more easily and affectively run studies on improvement projects. This case study details how HERE Technologies enabled the City of Toronto’s transportation team to: Work smarter with comprehensive network coverage and accurate data to aid analysis Examine the impact of city projects without significant forward planning or expenditure Ensure travel volume models used to drive decision making are calibrated to represent real-world truths
Tags : public sector, urbanization, traffic management
     HERE Technologies
By: TIBCO Software GmbH     Published Date: Jan 15, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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     TIBCO Software GmbH
By: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
Tags : data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data, big data, hadoop, agile analytics, cloud data lake, cloud data warehouse, data lake ingestion, data ingestion
     Attunity
By: AWS     Published Date: Oct 30, 2018
As cybercriminals look for new ways to break through defenses, it’s vital that organizations have access to real-time operational intelligence across their applications, services, and security infrastructure. As Recreational Equipment, Inc. (REI) migrated applications to Amazon Web Services (AWS), it needed to expand security capacity for edge protection of its AWS VPCs. REI chose Splunk for security monitoring, historical analysis, and data visualization in real time, to help it investigate events and mitigate operational risks.
Tags : rei, intelligent, threat, detection, edge, protection, aws, splunk
     AWS
By: TIBCO Software APAC     Published Date: Aug 15, 2018
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT. Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction. Download this paper
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     TIBCO Software APAC
By: DigiCert     Published Date: Jun 19, 2018
Regulatory compliance is more than a series of rules to adhere to, and getting it right could save you time and money. Historically, compliance has been regarded as a checklist of fixed requirements. But this reactive outlook risks being too short-sighted. It can lead to higher compliance costs, audit deficiencies, greater business downtime and an increased risk of data loss. Furthermore, it can lead to missed opportunities to achieve greater levels of operational effectiveness for your business. The only way to achieve a greater level of operational efficiency is to adopt a proactive strategy and stay ahead of the compliance curve.
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     DigiCert
By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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     TIBCO Software APAC
By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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     TIBCO Software APAC
By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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     TIBCO Software APAC
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
By: SundaySky     Published Date: Mar 06, 2018
Saks’ personalized video advertising program with SundaySky consists of 15- and 30-second SmartVideo pre-roll ads, featuring highly relevant information, such as previously viewed items, product categories, brand messages and seasonal promotions, that correlate to the viewer’s historical browsing data. Within 30 days of the shopper’s last visit to Saks’ website, SundaySky finds the individual on a publisher site through a programmatic ad network, and serves him or her a Saks video ad filled with relevant information according to their behavior. The goal of the program was to maintain a $25 ROAS with more than $10 million in attributed revenue, measured by the brand’s advanced attribution system of record MarketShare.
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     SundaySky
By: Fiserv     Published Date: Feb 21, 2018
With the Financial Accounting Standards Board (FASB) Current Expected Credit Loss (CECL) impairment standard and Allowance for Loan and Lease Losses (ALLL) finalized, preparation and interpretation has begun. Having the right tools to help gather and organize the historical data, create pools and calculate loss rates is critical. In this webinar, we’ll walk through Prologue™ Credit Loss Manager from Fiserv and how it will help you be prepared for CECL.
Tags : cecl compliance, cecl consulting, allowance for loan loss calculator, fasb, cecl, current expected credit loss, alco, reserve, alll, allowance for loan and lease loss, loan segmentation, loan pooling credit loss trends, loan reserve
     Fiserv
By: Datastax     Published Date: Nov 07, 2017
Regular customer experience solutions just segment and stereotype their customers and perform in a sort of action-reaction, request-response manner, rather than being instantly responsive. Being responsive means adjusting to each additional interaction and observed behavior, and making every action, every click, every scroll, every email, every second spent on your app part of a larger conversation. You need to have the systems in place that can effectively engage a customer in that conversation and not just analyze it with historical data or after the fact.
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     Datastax
By: Fiserv     Published Date: Oct 27, 2017
" The Impact of CECL and Financial Institution Readiness When it comes to CECL compliance, top financial consultants agree that extensive amounts of historical data, including different lengths of portfolio histories, will be needed. In addition, this research reveals that a majority of financial institutions do not understand how their risk management methodology needs to change. Nor do they comprehend the impacts of the changes that will need to be made to calculate Allowance for Loan and Lease Losses (ALLL). This represents a significant opportunity for top-tier consultancies to provide valuable thought leadership and guidance now, before financial institutions find themselves scrambling to meet the new standard. Learn more in our survey results."
Tags : cecl compliance, cecl consulting, allowance for loan loss calculator, fasb, cecl, current expected credit loss, alco, reserve, alll, allowance for loan and lease loss, loan segmentation, loan pooling credit loss trends, loan reserve
     Fiserv
By: Carbonite     Published Date: Oct 05, 2017
Data protection often seems like a clash between competing interests: the need to protect data, against the need to protect access to data. The challenge lies in deploying the right protection across the different systems and types of data, since they each require different forms of protection. IT pros need confidence that the protection they deploy can: •Ensure long-term survivability of historical data •Deliver data securely to different waypoints. •Extend protection as environments change.
Tags : data protection, data security, carbonite, data recovery, data resiliency, data backup
     Carbonite
By: IBM     Published Date: Mar 29, 2017
Not just some data—all of it. Internal, external, structured, unstructured, historical, real-time. And what if you could do it without a huge infrastructure project? You can. Take a closer look at how three companies capitalized on more data—almost instantly—with IBM® BigInsights® on Cloud.
Tags : analyze, data, cloud, ibm, analytics
     IBM
By: FICO     Published Date: Nov 30, 2016
Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes. The challenge is that what will happen may be something outside of what the past can predicts – who, 25 years ago, would have considered the Internet as a primary vehicle for commerce, or that Big Data would become both a treasure and a tragedy for organizations? Consider other factors, such as regulations, largely transient customers (where loyalty and brand aren’t what they used to be), disruptors (such as new entrants and technologies), and the need for manufacturers to “move faster than ever” – in effect, to be able to plan for the future before it happens.
Tags : manufacturing optimizations, enterprise software, infrastructure, networking, it management, knowledge management, enterprise applications, data management
     FICO
By: Cisco     Published Date: Jul 11, 2016
With a global monthly reach consisting of more than 500 million mobile users and billions of requests, Tapjoy historically relied heavily on their IT footprint. They needed an environment that would allow them to accelerate the development and improve the performance of their big data algorithms, which help drive real time decision-making that delivers the best content to their global audience. Tapjoy engineers opted for a cloud-based model to run their big data platform instead of bare metal, prioritizing agility and the ability to scale over bare metal performance. Initially they deployed at AWS, but as the platform grew and their AWS costs increased, Tapjoy began to look for ways to better manage their growing public-cloud spend while increasing efficiency. They needed to do this without compromising the cloud experience they were giving their developers.
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     Cisco
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