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.
At a Glance
Today’s workforce has grown accustomed to using personal technologies that make communication easy and simplify their lives. But many enterprise tools haven’t kept pace. Most current project and portfolio management solutions fail to provide simple ways of performing everyday tasks. They don’t facilitate contextual communication that would help to solve problems, and they lack key functionality: the ability to narrow the focus to relevant data, to drill down for additional information and to efficiently forecast financials and model outcomes.
Download this whitepaper now to see how CA PPM brings more value to your business by providing 15 key features that remain unaddressed by other products on the market today.
Reconstructing resource management tools to simplify tasks, drive collaboration and facilitate action.
People who use technologies at home expect the same ease of use and intuitiveness for the tools they use in the workplace. But enterprise tools aren’t keeping up with the pace of change. Many product and portfolio management (PPM) solutions force resource managers to create entire workflows or navigate through multiple screens just to see the fundamental component of resource management—what their people are working on.
Resource managers also cite shortcomings such as no simple way to perform everyday tasks, communicate in context with others, drill down into key information, narrow the field of resources and forecast financials and model outcomes.
The cost of labor can be managed effectively when restaurateurs are equipped with the right training, tools and processes. Traditional methods for capturing critical forecasting data and formulating labor plans & budgets are incomplete and often inaccurate, rarely accounting for menu pricing changes or current economic conditions.
Even when the best practices of forecasting are employed, the information isn’t always available to the store managers who are attempting to manage the cost of labor. This ebook will walk you through the ins and outs of labor forecasting and best practices to build efficiency, grow revenue, and positively impact your restaurant’s bottom line.
IBM Planning Analytics Local is the on-premises version of the planning solution built on the powerful, in-memory OLAP engine of IBM TM1. It automates your planning, budgeting and forecasting, and helps you link operational tactics with financial plans.
Do your plans and forecasts need a reality check?
The quality of your strategic decisions is only as good as the quality of your forecasts. And forecasts are only good if they reflect current reality—not the reality of two, three or more quarters ago. Enter “continuous planning.” With a methodology for forecasting at frequent intervals throughout the year, continuous planning “enables managers to see trends, patterns, and ‘breaks in the curve’ long before their competitors, and thus make better informed decisions regarding products and markets.”
In this free online webinar, speakers Jim Collins & Guy Jones will explain how continuous planning keeps you in touch with current reality - and one step ahead of competitors.
Jim Collins, Performance Management Strategy Executive, IBM
Guy Jones, Worldwide Technical Sales Executive, IBM Performance Management,
Analysis of 55 million product SKUs. Aggregated and anonymous data from more than one trillion visits to 4,500 retail websites. Billions of data points flowing through Adobe Experience Cloud. It’s no wonder our holiday shopping predictions are the most comprehensive and accurate in the industry.
View the report, Adobe Digital Insights 2017 Holiday Shopping Predictions, and learn:
Total forecasted online holiday revenue, broken down by day and device
Top gifts on consumers’ wish lists this holiday season
Best days for buying based on discounts and out-of-stock risks
Last year at this time, we forecast a bumpy ride for infosec through 2017, as ransomware continued to wreak havoc and
new threats emerged to target a burgeoning Internet of Things (IoT) landscape. ‘New IT’ concepts – from DevOps to various
manifestations of the impact of cloud – seemed poised to both revolutionize and disrupt not only the implementation of
security technology, but also the expertise required of security professionals as well.
Our expectations for the coming year seem comparatively much more harmonious, as disruptive trends of prior years
consolidate their gains. At center stage is the visibility wrought by advances in data science, which has given new life to threat
detection and prevention – to the extent that we expect analytics to become a pervasive aspect of offerings throughout the
security market in 2018. This visibility has unleashed the potential for automation to become more widely adopted, and not
a moment too soon, given the scale and complexity of the thre
More than 23 million servers in the world are still running on the Microsoft Windows Server 2003 operating system, making it the most popular engine for serving information and applications globally for over a decade. But, starting in July 2015, Microsoft will no longer provide basic support for it.
Worldwide social network ad spending is expected to reach nearly $9 billion in 2013, a 33% increase over 2012. While Facebook will maintain a significant share of the 2013 total ($5.48 billion), that leaves $3.5 billion to be spent on fast-rising Twitter, Chinese social networks, social games, LinkedIn and other sites.
In May of 2015, CFO Research conducted a global survey of senior finance executives at large companies, to examine the pressures they face in providing timely, accurate cash reporting and cash forecasting to business decision makers across the enterprise. This report is based on 371 survey responses from CFOs, treasurers, and other senior finance and treasury executives at companies with more than $250 million in annual revenues, representing a broad range of company segments.
SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy. It supports retail core processes end to end, starting with master data down to point-of-sales (POS) connectivity. It allows insights into operational retail data, empowering users with contextual, real time information for faster and better decision making. Processes can easily be extended to connect to business networks to form a digital ecosystem and collaboratively drive business model improvements. Equipped with a simple and intuitive user experience, the solution offers better support for headquarters users as well as store associates to drive compelling customer experiences.
SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy. It supports retail core processes end to end, starting with master data down to point-of-sales (POS) connectivity.
Published By: FusionOps
Published Date: Jun 15, 2016
The supply chain generates huge volumes of data captured in ERP, CRM, demand planning and other systems. Download this whitepaper to learn how FusionOps Machine Learning can provide companies with a more accurate, granular understanding of their business by harmonizing these disparate data sources in the cloud, and applying machine learning algorithms.
Published By: FusionOps
Published Date: Jul 25, 2016
Life science companies are adopting innovative cloud technology to provide a single source of truth for end-to-end supply chain decision-making.
Read this CIO interview to learn how H.D. Smith is using FusionOps supply chain intelligence software to improve efficiency, cost, and quality.
• How to improve time to actionable insights using a cloud platform
• How to improve service levels and forecast accuracy through deeper intelligence into the supply chain
• How to enable cross-functional collaboration to make better business decisions and drive performance improvement
With many companies finding themselves under prepared for the downturn, they turned to often poorly structured forecasts on which to make business decisions. Where are the problems? Read this white paper to learn how forecasting can help in 3 ways.
Published By: Prophix
Published Date: Jun 03, 2016
For an increasing number of organizations, enterprise performance management (EPM) tools are enabling senior finance executives to integrate plans, understand where they're losing money, move from annual budgets to rolling forecasts, and identify opportunities for strategic improvements. During this Webcast, a panel of experts will explore: • Why business intelligence and business analytics are each important to your business; • How Big Data and analytics can help your organization answer more questions and ask even better ones; • The capabilities that enterprise performance management software offers organizations; and • How to evaluate what your organization can gain by implementing enterprise performance management software.
Published By: Prophix
Published Date: May 31, 2016
With Prophix you can produce rolling forecasts, multi-year forecasts, daily forecasts and driver-based forecasts. With a centralized application, organizing fragmented data from multiple sources and change assumptions easily and create a multitude of scenarios.