data into insight

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Published By: PwC     Published Date: Aug 27, 2019
Six hours a day. According to research, that’s how much of a lawyer’s time, on average, is spent on administrative tasks or new client development (sound familiar?). Fortunately, technology and the data it generates can help you streamline systems and processes — and reveal important insights about your firm. But what tools should you use? How should you implement them? We’ve got the answers. Our guide outlines what you need to know when leveraging technology to reduce admin inefficiencies and, better yet, increase cash flow. You’ll learn how to identify what metrics matter most to your practice: like billable hours, profitability by client and hiring decisions. It also spotlights helpful tools, like PwC’s InsightsOfficer, that turn data into insights, impacting your firm’s performance.
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PwC
Published By: MicroStrategy     Published Date: Aug 21, 2019
Ready or not, the future is here. For enterprise organizations, it must be a data-driven one. Whoever can use technology to transform the customer experience, and be the first to discover and deliver on new business models, will be the disruptor. Those who can’t, the disrupted in this period known as the “era of Digital Darwinism.” The future belongs to the Intelligent Enterprise which anticipates constantly evolving regulatory, technological, market, and competitive challenges and turns them into opportunity and profit. It delivers a single version of the truth and agility. It connects to any data and distributes reports to thousands. The Intelligent Enterprise goes beyond business intelligence, delivering transformative insight to every user, constituent and partner. Are most organizations there yet? As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy has surveyed 500 enterprise analytics professionals on the state of their organization’s analytics initiatives.
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MicroStrategy
Published By: HERE Technologies     Published Date: Jul 11, 2019
Supply chain managers are increasingly leveraging location intelligence and location data to raise visibility throughout their whole logistics process and to optimize their delivery routes. Leveraging this data requires an ever-more-robust technology stack. As supply chain technology stacks become more complex, diverse and defined by legacy system integrations, Application Program Interfaces (APIs) are becoming essential to making stacks scale, allowing supply chain managers to better meet the demands of the new generation of consumers. Innovative location APIs provide supply chain stacks and applications with: Greater agility Contextual intelligence Real-time data implementation Speed Scale Introducing new technology into an organization can sometimes be daunting. As one of the world’s leading location platforms, HERE shares insights and tips to streamline the supply chain technology integration across the whole organization.
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here technologies, supply chain, mapping
    
HERE Technologies
Published By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
Organizations continue to rush down the digital transformation path. Whether by modernizing their IT infrastructures, leveraging the cloud, or becoming data-centric and data-driven, organizations must become more agile in their business practices and within their IT infrastructure stack to effectively compete in today’s dynamic business environment. Between the speed and distributed nature of modern businesses, as well as the expectation of instantaneous access to data from everyday users, it’s not surprising that nearly one in three organizations are looking into ways to improve data analytics for real-time business intelligence and customer insight.
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Group M_IBM Q3'19
Published By: SAS     Published Date: Jun 26, 2019
To support open government initiatives and uphold the values of transparency, participation and collaboration in the US, federal agencies today make their data open, or publicly accessible. Citizens can use this open data to assess college affordability, the economy, educational issues, environmental damage, health care, taxes, agriculture, the climate and more. Governments can use APIs to pull this open data into SAS Visual Analytics as a way to identify trends and patterns and obtain all sorts of new insights. With public health surveillance, for example, governments can monitor and evaluate indicators that point to high-risk areas so they’ll know where and how to focus efforts. Such public health surveillance can serve as an early warning system for impending emergencies, document the impact of an intervention, track progress toward public health goals, and clarify health problems to inform public health policies and strategies.
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SAS
Published By: Adobe     Published Date: Jun 26, 2019
The world of advertising has become a complex tangle of organizational silos, disconnected platforms, and scattered customer data, turning even the simplest media buy into a chaotic event. But it doesn’t have to be this way. When you unify your audience data, media inventory, and performance results you get a clear view of ad activity and investment. So you can better allocate budgets. And dramatically boost your return on ad spend. Read Behind every great ad, there are a million digital connections for valuable insights on: - How the fragmented ad landscape keeps you from connecting with customers - Strategies for integrating technology and data to reach customers everywhere - Tips for recovering from data loss — and avoiding it altogether.
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Adobe
Published By: Forcepoint     Published Date: Jun 06, 2019
Office 365, Salesforce, and other cloud apps deliver a boost in employee productivity, but this benefit comes at a price. Once data moves outside an enterprise, security teams lose visibility and control into how it’s accessed and used. There is also the risk of unsanctioned apps or Shadow IT – the cloud apps setup and managed outside of IT that they have no visibility of; all this leaves an organization having to manage up to 1,000 cloud apps*.  Deploying a CASB solution can help you discover and assess risk from unsanctioned cloud apps and control sanctioned cloud app use. Through a hands-on evaluation, ESG discovered that Forcepoint CASB: Reduces threat response times Grants visibility and context into user activity Controls user access to cloud apps from different locations/devices Read the ESG evaluation for rare insight into Forcepoint CASB by a respected third-party analyst.
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Forcepoint
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
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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Group M_IBM Q2'19
Published By: HERE Technologies     Published Date: Mar 22, 2019
As supply chain technology stacks become more complex, diverse and defined by legacy system integrations, Application Program Interfaces (APIs) are becoming essential to making stacks scale, allowing supply chain managers to better meet the demands of the new generation of consumers. Innovative location APIs that provide supply chain stacks and applications with greater agility, contextual intelligence, real-time data implementation, speed and scale are turning the process of moving goods from A to B into a well-orchestrated exercise in precision. Introducing new technology into an organization can sometimes be daunting. As one of the world’s leading location platforms, HERE shares insights and tips to streamline the supply chain technology integration across the whole organization.
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auto, mapping, location data
    
HERE Technologies
Published By: HERE Technologies     Published Date: Mar 11, 2019
Increasingly sophisticated location technology makes it possible for data scientists to gain a deeper understanding of their target audiences – and how to reach them. Accurate and precise intelligence can give more timely and complete insights into audiences than ever before. As one of the world’s leading location platforms in 2018, HERE shares insights and solutions to buying location data for better audience segmentation.
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location data, ad tech, location targeting
    
HERE Technologies
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
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Hewlett Packard Enterprise
Published 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.
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data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data
    
Attunity
Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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BMC ASEAN
Published By: SAP     Published Date: Dec 10, 2018
In a consumer-driven digital economy, the pace of innovation is relentless. This era of intelligent mega-processes requires businesses to combine the right data sets and convert them into intelligent insights. The path to this digital transformation is not easy and studies have shown that 8 out of 10 early digital transformation initiatives have failed. Your transformation journey can be successful with the right approach. Download this paper to learn how you can embark on your journey to the Intelligent Enterprise.
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SAP
Published By: AWS     Published Date: Nov 15, 2018
"Getting the right analytics, quickly and easily, is important to help grow your organization. But analytics isn’t just about collecting and exploring data. The truly important step resides in converting this data into actionable insights. Acquiring these insights requires some planning ahead. While ease of deployment, time-to-insight, and cost are all important, there are several more assessments you need to take before choosing the right solution. Learn the 8 must-have features to look for in data visualization. Download this white paper to learn how TIBCO® Spotfire® in AWS Marketplace assist in providing you advanced, cost-effective analytics."
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AWS
Published By: TIBCO Software     Published Date: Nov 12, 2018
The insurance industry stands on the precipice of change, with waves of innovation and disruption driving new possibilities across all departments, including pricing, underwriting, claims, and fraud. This webinar recording of a live panel debate is ideal for insurance professionals wanting to understand how best to unlock the possibilities created by advanced analytical techniques such as Artificial Intelligence (AI), Machine Learning (ML), and others. This TIBCO and Marketforce webinar on “The Fourth Industrial Revolution in Insurance” includes speakers Ian Thompson, chief claims officer at Zurich; David Williams, chief underwriting officer at AXA; and Clare Lunn, GI fraud director at LV=. The panel discusses: Moving towards the algorithmic insurer: the opportunities created by AI and ML How insurers can become more agile in the face of new innovations and disruptive technologies How the industry can turn structured and unstructured data into insights
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agile insurance, customer experience, digital initiatives, analytical techniques
    
TIBCO Software
Published By: Herman Miller     Published Date: Oct 04, 2018
As workplace researcher Robert Propst observed in A Facility Based on Change, “Not only must we accept change, we must adjust to accelerated growth.” If your office doesn’t reflect who you are now and who you hope to become in the future, accelerated growth can feel especially painful. Whoever you are, you can’t escape change. But we think that workplaces can actually be catalysts for growth without all the growing pains. Whether you’re trying to spark innovative thinking or encourage people to work together more efficiently, you can reach your goals with a workplace tailored to your unique needs. We’ve been capturing workplace data and transforming it into growth-enhancing insight since Propst began studying the connections between people, work, and the workplace nearly 50 years ago. This legacy of workplace research—in combination with the research we do today—informs Living Office®, a research-based placemaking approach that ignites powerful workplace transformations. With Living Of
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Herman Miller
Published By: Kronos     Published Date: Sep 20, 2018
Advanced analytics tools can help SMB retailers trim expenses while simultaneously improving shopper/associate engagement. Armed with big data insight into the performance of individual associates and stores small- and mid-size retailers can close the gap on the industry’s biggest players. Download this Retail IQ report and discover how retailers both big and small can benefit from cutting-edge insight into the performance of their workforce to better schedule, plan and assign tasks.
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Kronos
Published By: Workday     Published Date: Sep 19, 2018
Hoarding data isn’t doing much to help your financial services firm if you can’t easily combine data from multiple sources and quickly run analytics. But there is a way to turn those heaps of data into actionable insights to get clearer answers to your biggest questions and better drive your firm’s strategy. Read the blog to learn how to improve your back end to go from data hoarding to decision-making.
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Workday
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