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This year, Focus 2016, August 22-25, 2016, Hilton La Jolla Torrey Pines, San Diego, CA gives customers more ways to share their own BI360 stories with the community. Attendees can ask questions and gain valuable tips and insights from the people who have lived through the challenges and successes of a BI360 implementation during extended Customer Showcases and Panel Discussions. Then, attendees can enjoy the amenities of the resort with their colleagues while having candid dialogs during various networking activities.

Extended Customer Showcases
In prior Focus events, Solver created 20-minute Customer Showcase presentations, giving attendees a taste of real-world experiences. This year, we’ve extended that time to 45 minutes to give presenting customers and session attendees a chance to drill down further into the details of the customer’s story, thus allowing attendees more opportunities to ask questions and gather ideas they can try in their own organizations. This year’s featured customers and their scheduled sessions are below:
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This article focuses on budgeting software, specifically zooming in on the automatic spreading functionality.

Budgeting with Automatic Spreading
Budgeting software is one of the most fundamental and critical tools for managing your money. Think about all of the time and energy your company allocates to budgeting. I think about my recent car investment and all of the costs that come with it, including car insurance. I feel extremely overwhelmed just thinking about it, but knowing that there is a simple solution to budgeting calms my anxiety. Do you feel overwhelmed at work? You may feel like this if you are punching in your budget data manually. If you are working toward a financial goal or you are working with limited money, finding an easy way to budget will benefit you at both a personal and organizational level. In this article, we will be covering the first topic of our budgeting series where I will be focusing on an important budgeting need that a budgeting software can solve with corresponding features such as automatic spreading.
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This article will help organizations identify signs that they need a new Business Intelligence system.

Trend in Business Intelligence for H2 2015
Today, plenty of large organizations, as well as small and medium-sized companies, are stuck using old or manual Business Intelligence (BI) tools that are in desperate need of a replacement. BI translates to technology-driven processes for analyzing data and presenting information that will help companies improve the decision making processes at all levels of management. Well, how do you know if you need a new BI/Analytics system? You should begin by constructing the right set of questions. What tool(s) does your organization have to have right now? What are your BI goals, and what is your schedule for building the BI toolbox to meet analytical goals? Also, outdated BI systems show several warning signs such as wasting time, harming decision-making, and keeping organizations from taking advantage of their data.
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This article will discuss how Business Intelligence and Corporate Performance Management systems differ – and how they overlap.

Many find the word ‘Business Intelligence’ (BI) often ambiguous and confusing. It can simply mean that you know something about the business, but Gartner, the world’s leading IT research company, defines BI as “an umbrella term that include the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.” The objective is to provide the right knowledge to the right people at the right time to make informed decisions.
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Your company has put tens or hundreds of thousands of dollars into acquiring a budgeting and planning software system that will streamline your staff’s workload. Chances are, that even after training, you or your team has only been using a small percentage of the features or functions available in the solution.
Now, you or your team might wish to rediscover the full range of attributes, or you might even be seeking solutions to more complicated business process matters. Those answers and more can be found at Focus 2016, August 22-25, 2016, located at the Hilton La Jolla Torrey Pines, San Diego, CA.
For four days in August, dozens of BI360 product experts, hundreds of technology professionals and BI360 users will gather to impart their wisdom to help you and others like you become BI360 gurus in their own right.
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Independent software vendor (ISV) tools expand and streamline data management and analytics for Intacct users building best-of-breed Business Intelligence (BI) solutions.

One question that sometimes comes up in conversations with Intacct customers is related to confusion as to why you might need to deploy ISV tool(s) on top of the accounting system.  This is a small hurdle for ISVs as the confusion seems to quickly dissipate for the Intacct community.  First of all, no software solution, even as great as Intacct has proven to be, can answer to every single business-related analytical hurdle for every company.  A perfect example would be Apple offering their own native Maps applications on their iPhones, but still allowing consumers to install the Google Maps app, just as any modern flexible enterprise resource planning (ERP) system, like Intacct, does.  Because every organization who utilizes Intacct has particular objectives, specific planning needs and rules, the accounting system will differ in how sufficient of a solution it is for each corporation.  ISVs provide businesses the capability to customize their data management and analytics.
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This article will discuss the difference between forecasting and budgeting, specifically in the context of which process might be more important to modern business planning.

Recently, I was talking to a finance professional who oversees accounting processes and helps his organization make decisions about the future in regard to budgeting and forecasting.  He posited that forecasting might be more important to running a business today than traditional budgeting – and it made me think.  I’m always writing about the constantly evolving world of technology and the fast pace of today’s business culture, so shifting away from a traditional way of accomplishing data management and analysis tasks sparked my interest.  Thus, this article will explore the differences between budgeting and forecasting to hopefully arrive at a better understanding of what is more impactful and productive to business today.
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A few weeks ago, the registration website for Solver’s Customer and Partner Conference, Focus 2016 launched. This year the event, to be held August 22-25, 2016, will take place in a new location: the classically beautiful Hilton La Jolla Torrey Pines in San Diego, CA.
The new conference location is just a precursor to Solver’s plans to include other new elements in their event program. In fact, many of these enhancements come from suggestions Solver’s Partners and Customers have made. So thanks to many of you for helping Solver build a better event. My name is Karen Barak. I’m a marketing and events consultant extraordinaire with a passion for excellence and exceeding expectations. Read this and future BI360 Focus 2016 blogposts to discover what’s new and what’s exciting at this year’s ultimate Customer and Partner conference on BI360.
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This article is going to tackle OLAP cubes as a solution concept for Business Intelligence processes, within the context of other BI data store options.

Let’s do it – let’s talk about OLAP cubes.  With the amount of data only growing, exponentially for some, Business Intelligence (BI) data stores are becoming more and more prevalent – and are sensible ways for modern organizations, companies, and corporations to access, store, and organize company data for financial reports, budgets, and dashboards, as well as financial consolidations.  Whether you’re relying on a data mart, data warehouse, or an OLAP cube, your data queries won’t slow down the Enterprise Resource Planning (ERP) system, and you can grab multiple types of data to enrich and broaden your analyses.  But this article will specifically zoom in on OLAP cubes.  Who manages them?  What are they? When do OLAP cubes come into play?  Where are they staged? Why would you choose an OLAP cube over another BI data store?
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