business decisions

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Published By: Trillium Software     Published Date: Aug 17, 2012
All too often, strategic business decisions are based on information generated from poor or missing data. As a lack of quality data prevents executives from making the right choices when determining critical business strategies, such as ...
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improving claims
    
Trillium Software
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state, governmental, decisions, data management
    
Aberdeen
Published By: Workday     Published Date: Feb 18, 2019
Human capital management technology plays a key role in helping organizations navigate the rise of the social enterprise, providing the ability to manage the full worker lifecycle, from recruitment to retention, and delivering the analytics needed to drive key business decisions. Read about the four steps businesses should take now.
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workday, workforce technology, digital strategy
    
Workday
Published By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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IBM APAC
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
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.
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Group M_IBM Q2'19
Published By: Intel     Published Date: Apr 16, 2019
Online media and entertainment companies face a tidal wave of content demand. Legacy infrastructure will be overwhelmed by the compute, storage and network demands. Businesses that make the right investment decisions and fine-tune performance can provide consumers with the user experience they expect. Download Intel's latest eGuide, ‘Thriving in Today’s Media and Entertainment Economy' to discover: • Expectations for the growth of the streaming media industry over the next few years • Consumer expectations for high-quality media experiences • How to defend against hacking with upgraded infrastructure • The predicted effects of 5G on the media and entertainment landscape • The infrastructure upgrades required to keep up with these demands
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Intel
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 02, 2019
As the foundation for most critical business decisions, today's data environments are not just a vital piece of IT infrastructure, but key component of corporate strategy.
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Group M_IBM Q2'19
Published By: Anaplan     Published Date: Apr 02, 2019
What should the sales planning process look like? A poor sales planning process can severely reduce the effectiveness of your sales team and keep high-level business goals from being implemented in the field. In this paper, SiriusDecisions describes how to take a structured approach to the yearly sales planning process and ensure that your sales goals inform your territories, quotas, account segments, and other sales planning deliverables. In this SiriusDecisions paper, you’ll learn: • The three crucial stages of the annual sales planning process • How to ensure that all relevant stakeholders participate in the sales planning process • How sales ops can help sales leaders set realistic goals for the year
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Anaplan
Published By: Workplace by Facebook     Published Date: Dec 21, 2018
The things we buy increasingly reflect who we are. Apparel resale is big business. The rise of the pop-up outlet continues. And people are making more ethical or sustainable purchasing decisions. Download this info-graphic now to learn how retailers are evolving and how tools like Workplace by Facebook can help them keep ahead of the competition.
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Workplace by Facebook
Published By: HPE     Published Date: Jan 04, 2016
Think you can’t afford flash? Think again. If you’re looking to make a primary storage investment in the near future, you can’t afford not to consider an all-flash or converged flash array. HPE offers the only architecture on the market that is flash-optimized without being flash-limited—so you won’t have to make business-limiting decisions when it comes to implementing flash, such as inserting a new silo into your environment or undergoing painful hardware rip-and-replace.
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HPE
Published By: Zendesk     Published Date: Dec 03, 2018
Customer service metrics help us track how well we perform in our primary customer service mission—achieving and maintaining high customer satisfaction. To achieve this mission, we need data to understand our operations and the customer experience. Fortunately, lots of data is available these days. All the metrics for measuring this data are valuable, but which ones do we rely on to effectively measure our success and guarantee that we’re making smart business decisions? Which metrics make the difference when it comes to ensuring customer satisfaction? We’ve created this guide to help your business find those answers.
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Zendesk
Published By: Red Hat     Published Date: Aug 22, 2018
Digital transformation projects present many technological and organizational challenges. A key challenge is developing modern, cloud-native applications that connect customers directly using automated business processes and decisions. Creating these applications requires a radical change in how software is built—moving away from traditional, IT-led software development to a process that lets both developers and business experts contribute directly to application logic.
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Red Hat
Published By: Cisco     Published Date: Jun 21, 2016
Modern organizations are expanding mobility initiatives across virtually every business function. According to Cisco’s 2015 Mobility Landscape Survey, 72 percent of business leaders believe mobility is a strategic imperative for their organization’s success. In fact, in many businesses today, line-of-business (LoB) leaders are increasingly funding and making decisions about mobile applications and solutions.
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Cisco
Published By: SAS     Published Date: Jan 17, 2018
What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
Consider the many ways that a customer encounters your brand – organic results on a search engine, display media campaigns, social media links, re-targeting on external sites, etc. One thing is certain – consumer journeys are far from linear. They can occur across multiple platforms, devices and browsers. The problem is that organizations are often constrained to channel-limiting decisions regarding their media investment allocations. Marketing attribution helps you analyze the impact and business value of company-generated marketing interactions to help make the best marketing investment decisions. The challenge is to interpret the massive volumes of customer data that continues to expand day by day.
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SAS
Published By: Epicor     Published Date: Sep 20, 2017
When determining which investments to make in their technology infrastructure, organizations will often choose to make no changes at all. While this decision avoids short-term costs and business disruption, it often simply delays the inevitable—even making it worse. The cost of doing nothing is expensive in the long term. This report—from the independent researchers at Aberdeen Group—outlines the reasons distributors choose not to upgrade enterprise resource planning (ERP) software and cautions against this approach, supplying detailed research that illustrates the benefits of keeping your systems current. Download this report to learn how a new or improved ERP system can help get you the information you need to make informed decisions and act more efficiently, improving overall company performance.
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erp software, enterprise resource planning software
    
Epicor
Published By: Epicor     Published Date: Sep 20, 2017
More than ever, businesses are considering a cloud solution for their enterprise resource planning (ERP) deployment over an on-premises system. Cloud technology appeals to these companies because updates and fixes occur automatically with little or no effort from internal IT staff, and because cloud-based solutions provide access to real-time data from anywhere. Employees want tools that make it easier for them to complete everyday tasks and make informed decisions that help the business grow. Aberdeen’s research report, “Top Performers Know It’s Time to Migrate to Cloud ERP: Here’s Why and How,” uncovers the reasons successful companies are choosing cloud over on-premises ERP models. Download this SmartBite for a quick look at the report’s highlights.
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Epicor
Published By: HPE     Published Date: Feb 20, 2015
Imagine an environment where business decisions drive application choices and policy, with no regard for infrastructure, where best practices are implemented based solely on business requirements—and a “guaranteed service level” means just that. The IT of the future will be an elaborate business operation unencumbered by past technology decisions, one capable of providing exact service levels to multiple constituencies while continually optimizing costs.
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HPE
Published By: AWS     Published Date: Sep 05, 2018
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
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AWS
Published By: DataStax     Published Date: Mar 10, 2017
Banks are at an inflection point. According to a recent research by Viacom, 1 in every 3 U.S. consumers are open to switching banks in the next 90 days. Financial services companies need to break through the competition to gain customer trust and loyalty. Building a 360° view of the customer can help banks grow customer retention and loyalty, upsell high margin products and provide compelling interactions. However, this is no easy task as complexity increases when retail banks engage their customers across multiple channels and financial products. Gaining visibility into every customer interaction, across your business silos, and with every engagement channel is critical to making the right decisions to deliver amazing customer experiences. This white paper examines the challenges Financial Services Institutions (FSIs) face when building a 360° view of the customer to transform their customer experience and how to overcome them.
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DataStax
Published By: Oracle CX     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
Published By: Infosys     Published Date: May 30, 2018
Enterprises often accord the lowest priority for modernizing systems running business-critical applications, for fear of disruption of business as well as the time it would take for the new system to stabilize and come up to speed. A large telecom company had the same fears when they decided to modernize the reporting data warehouse which produced reports critical for making business decisions. See how Infosys helped and the five key takeaways from the project.
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data, fortress, modernize, business, applications, telecom
    
Infosys
Published By: Dome9     Published Date: Apr 25, 2018
The term “Cloud First” was initially popularized by Vivek Kundra, who formerly held the post of White House CIO and launched this strategy for U.S. federal government IT modernization at the Cloud Security Alliance Summit 2011. The underlying philosophy of the cloud-first strategy is that organizations must initially evaluate the suitability of cloud computing to address emergent business requirements before other alternatives are considered. This paper offers guidance to help organizations establish a systematic and repeatable process for implementing a cloud-first strategy. It offers a high-level framework for identifying the right stakeholders and engaging with them at the right time to reduce the risk, liabilities, and inefficiencies that organizations can experience as a result of adhoc cloud decisions. The goal of this guidance is to help ensure that any new cloud program is secure, compliant, efficient, and successfully implements the organization’s key business initiatives.
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Dome9
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