Published By: Cisco EMEA
Published Date: Nov 13, 2017
Encryption technology has enabled much greater privacy and security for enterprises that use the Internet to communicate and transact business online. Mobile, cloud and web applications rely on well-implemented encryption mechanisms, using keys and certificates to ensure security and trust. However, businesses are not the only ones to benefit from encryption.
In this report, you will learn why:
• Business stakeholders need better planning, insight, reporting and compliance.
• Why Oracle is a leader in Enterprise Performance Management.
• Modeling and management reporting are key differentiators as EPM moves rapidly to SaaS.
Published By: Salesforce
Published Date: Nov 19, 2015
Based on responses from more than 1,100 adults who currently have investments, the research found the wave of millennials (ages 18-34) entering the market is not only putting pressure on financial advisors to use newer technologies in managing their money, but also pushing even Gen Xers (ages 35-54) and baby boomers (ages 55+) toward more modern financial tools, such as modeling on mobile devices or online portfolio rebalancing.
Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.
Modern solutions like CA PPM continue to raise the bar above last-generation IT demand management tools, continuously providing new features to ease the burden of the PMO, the financial manager, the resource manager and the product manager.
In the last few years, new vendors looking to exploit the large and increasingly influential project and portfolio management (PPM) market have developed modules that “snap” into their SaaS platforms. These vendors claim their tools are easy to install, easy to manage and save customers money. It sounds too good to be true. And for most organizations, it is.
Carefully consider whether you need a PPM solution that is only capable of providing low-level functionality for the project manager, or if your organization could benefit from PPM technology that provides 360-degree optics across your organization, delivers actionable business intelligence and enables extensive modeling and forecasting capabilities to make data-driven business decisions.
Auf einen Blick
Mitarbeiter von heute sind es gewohnt, privat digitale Technologien zu nutzen, die eine problemlose Kommunikation ermöglichen und die Abläufe des täglichen Lebens vereinfachen. Bedauerlicherweise können viele Unternehmenstools nicht Schritt halten. Die meisten Projekt- und Portfoliomanagementlösungen, die heute eingesetzt werden, bieten keine unkomplizierten Optionen, um alltägliche Aufgaben auszuführen. Sie ermöglichen keine kontextbasierte Kommunikation, mit der sich Probleme lösen lassen, und verfügen nicht über entscheidende Funktionalität. Dazu zählen z. B. die Möglichkeit, den Fokus auf relevante Daten einzuschränken, das Durchführen von Drilldowns, um zusätzliche Informationen zu erhalten, sowie die Vorhersage finanzieller Entwicklungen und das Modeling von Ergebnissen.
In the 26-criteria evaluation of continuous delivery and release automation (CDRA) providers, we identified the 15 most significant — Atlassian, CA technologies, Chef Software, Clarive, CloudBees, electric Cloud, Flexagon, Hewlett packard enterprise (Hpe), IBM, Micro Focus, Microsoft, puppet, Red Hat, VMware, and Xebialabs — and researched, analyzed, and scored them. We focused on core features, including modeling, deploying, managing, governing, and visualizing pipelines, and on each vendor’s ability to match a strategy to these features. this report helps infrastructure and operations (I&o) professionals make the right choice when looking for CDRA solutions for their development and operations (Devops) automation.
Based on in-depth research and customer interviews, the annual Nucleus Research Value Matrix map out the corporate performance management (CPM) market landscape, evaluating vendors on a matrix contrasting usability and ease-of-use versus features and depth of functionality.
Read or download the 2018 edition to uncover the most up-to-date CPM landscape, to find the best finance software solution for your needs, and to see why Vena led the pack in usability to land in the Leader quadrant for the third straight year.
E-commerce which till a few years back was of peripheral significance to the CPG industry is now one of the biggest drivers of change and innovation in the sector. The numbers representing growth are quite staggering with McKinsey1 believing that the online space will account for anywhere from 10 to 30 percent of total industry sales growth in the next five years. This equates to a market opportunity of USD 15 Billion to USD 50 Billion.
Given how digital is impacting every part of the CPG value chain, companies need to be awake to the emerging trends as they can potentially have a make or break effect. This article discusses key trends that will define the CPG space in days to come.
Will the people you need for your future workforce be there? This complimentary SuccessFactors white paper shows how to shorten the journey to data-driven decision-making about talent. Download it today.
Marketing automation is quickly becoming a competitive necessity for most organizations. According to a recent Demand Gen Report, 42% of b2b marketers identified marketing automation as the tool they plan to test or deploy in 2016—beyond predictive analysis, account-based marketing, lead nurturing, and attribution modeling.
Download this white paper to discover how to use marketing automation to attract, engage, and convert buyers across all marketing channels by streamlining workflow, monitoring social, and managing content.
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage.
Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
Published By: Anaplan
Published Date: Apr 06, 2016
Optimizing incentive compensation: aligning what you say with how you pay
CSO Insights’ ICPM study* found that 69 percent of organizations use three or more metrics to build their sales compensation plans, but modeling and planning this sales strategy can quickly become too complex as a spreadsheet-driven exercise. It is crucial to get these incentive compensation structures right, because sales reps receive up to 60 percent of their income from incentive comp.
In this white paper, we discuss the disconnect between sales behavior and incentive compensation structure and provide recommended steps towards optimizing your compensation plan.
Published By: iKnowtion
Published Date: Aug 11, 2010
Marketing executives seek ways to generate incremental revenue from marketing programs. A major retailer used customer insights and a customer development framework to drive profitability and generate millions of dollars in incremental revenue and greater profitability.
Published By: iKnowtion
Published Date: Sep 14, 2010
The terms "customer segmentation" and "customer predictive modeling" are often used interchangeably, however, they're very different and support different business objectives. This paper explains why both are required to effectively compete in today's customer-centric marketing landscape.
Behind FICO® Collections Optimisation is a sophisticated decision modeling capability that quanti es the impact of an organisation’s business decisions and actions on customer outcomes such as revenue, loss and profit.
FICO® Optimization Solutions for Manufacturers is an integrated and flexible modeling, solving and rapid application development platform for building solutions across the entire lifecycle of manufacturing and supply chain business challenges. It helps businesses readily account for massive amounts of data as well the myriad constraints and conflicting objectives within your business. This easy-to-modify solution incorporates strong and proven optimization engines, flexible workflow and usability at every level to drive consistent, transparent and profitable decisions, which ultimately drive the best action(s) for your business.
The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their own. This has helped alleviate a major BI pain point: centralized, IT-dominated solutions have been too slow and too brittle to serve the business.
What has been masked is a lack of innovation in data modeling. Data modeling is a huge, valuable component of BI that has been largely neglected. In this webinar, we discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility.
Topics covered include:
• A new architecture beyond direct connect
• Language-based, git-integrated data modeling
• Abstractions that make SQL more powerful and more efficient
Published By: OneLogin
Published Date: Oct 24, 2017
From the information provided in the interviews, Forrester has constructed a Total Economic Impact (TEI) framework for those organizations considering investing in OneLogin. The objective of the framework is to identify the benefits, costs, flexibility, and risk factors that affect the investment decision.
Forrester employed four fundamental elements of TEI in modeling OneLogin: benefits, costs, flexibility options, and risks. Forrester took a multistep approach to evaluate the impact that OneLogin can have on the Organization (see Figure 2). Specifically, we:
› Interviewed OneLogin marketing, sales, and product management personnel, along with Forrester analysts, to better understand the value proposition for OneLogin.
› Conducted an in-depth interview with the Organization’s senior application engineer and its supervisor of IT security to obtain data with respect to costs, benefits, and risks.
› Constructed a financial model representative of the interviews using the TEI metho
Published By: Datarobot
Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
There is a great misconception that the purpose of attribution modelling is to arrive at a singular, concrete truth; however, the reality is much more nuanced. Attribution modeling is actually an ongoing process of improving how we measure marketing’s impact in order to improve our decision making over time.
There are a number of attribution principles that still confuse marketers:
• Why is attribution a process and not an end state?
• Why is making small steps forward really better than doing nothing?
• Why does the perfect attribution model not exist?
• What makes attribution an ROI investment and not a cost center?
With the many attribution myths, challenges, and philosophies in mind, AdRoll and Econsultancy have partnered for a second year in a row to produce The State of Marketing Attribution 2017. This time around we’ve broaden our focus beyond Europe to include content that also covers North America and Asia-Pacific.
This report goes in-depth on the current adoption levels of marketing attribution, the confidence in its usage, and the effectiveness of companies’ attribution methods worldwide. You will gain a better grasp on the required skills to succeed at attribution.
Learn about the four benefits of interactively creating, running, and evaluating high-performance analytic models and see how this will allow your organization to get a fast, interactive interface without all the tedious experimentation.
In the world of value-based healthcare, your data is the key to extracting the most actionable insights that provide real value to your organization. But getting to those insights can prove difficult, especially if you have to connect disparate data sources. You need transparency into key insights that can help your team make more informed decisions for the success of your organization.
In this listicle, we explore five ways an analytics solution can help you transform your organization through the power of insight. From risk modeling to predictive analytics, utilizing the right mix of analytics can improve patient outcomes and ultimately move your organization closer to your ideal value-based care model