What budgeting and forecasting software offers the most advanced analytics capabilities?

Several budgeting and forecasting software options offer advanced analytics capabilities. Some of the most renowned ones include Adaptive Insights, Anaplan, Oracle Hyperion, and IBM Planning Analytics. Each platform has its strengths and features tailored to different business needs, so it's essential to assess which aligns best with your organization's requrements.

O mais importante é a informa??o correta, auditável, e após isto evoluir para recursos tecnológicos avan?ados. A contabilidade é utilizada no planeta devido à sua genuína credibilidade, pois contem apenas duas opera??es: de somar e diminuir, ou de entrar e sair, ou de debitar e creditar. Estas duas opera??es tem 100% de credibilidade. Uma opera??o de divis?o: 10 / 3 = 3,333333 infinito Para isso uma solu??o deve ter uma contabilidade por detrás. Cuidado com os BI's ou planilhas. Sabia que as análises preditivas e prescritivas pode ser geradas com a contabilidade, utilizando critérios gerenciais. E, que criando um cenário, tem de volta à origem da contabilidade gerencial?!!

Microsoft is good and a tailored made analysis tools based on the activities and expectations from the analysis , but one must be very careful to ensure the company's goal is in consideration and not the users view alone .

While I prefer Anaplan for its robust capabilities and extensive features, it tends to be expensive for small and medium-sized enterprises (SMEs). For these organizations, the high cost can be prohibitive, making it difficult to justify the investment. Instead, I would recommend Datarails for SMEs. Datarails offers a more cost-effective solution that is better suited to the budget constraints of smaller businesses while still providing essential functionalities for financial planning and analysis. It strikes a balance between affordability and performance, making it an ideal choice for SMEs looking to optimize their financial operations without the steep costs associated with more premium platforms like Anaplan.

IBM Cognos Analytics is a powerful business intelligence and performance management tool that offers extensive capabilities for budgeting and forecasting. By leveraging its advanced analytics features, organizations can enhance their financial planning processes, improve accuracy, and make more informed decisions.

The use of well designed and well managed Big Data platforms (data warehouses, data lakes, etc.) helps in future proofing any FP&A implementation. When the data stored in the Big Data environment is comprehensive, clean, reconciled to your accounting system and at the most granular level possible, the FP&A systems can easily and accurately use the data. In case source systems change (which happens often), you would not need to re-design or re-implement the FP&A system.

Integrating SAP Analytics Cloud (SAC) with Tableau can significantly enhance financial modeling. SAC provides robust predictive analytics, integrated planning, and seamless data consolidation from SAP systems, ensuring accurate and comprehensive financial data. Tableau complements this with its powerful data visualization and intuitive dashboard capabilities, making complex financial insights easily accessible. Together, they enable real-time collaboration, deeper data exploration, and more informed decision-making, leading to superior financial planning and forecasting outcomes. This integration leverages the strengths of both platforms for a comprehensive financial management solution.

Integrating SAP Analytics Cloud (SAC) with Tableau can significantly enhance financial modeling. SAC provides robust predictive analytics, integrated planning, and seamless data consolidation from SAP systems, ensuring accurate and comprehensive financial data. Tableau complements this with its powerful data visualization and intuitive dashboard capabilities, making complex financial insights easily accessible. Together, they enable real-time collaboration, deeper data exploration, and more informed decision-making, leading to superior financial planning and forecasting outcomes. This integration leverages the strengths of both platforms for a comprehensive financial management solution.

Integrating SAP Analytics Cloud (SAC) with Tableau can significantly enhance financial modeling. SAC provides robust predictive analytics, integrated planning, and seamless data consolidation from SAP systems, ensuring accurate and comprehensive financial data. Tableau complements this with its powerful data visualization and intuitive dashboard capabilities, making complex financial insights easily accessible. Together, they enable real-time collaboration, deeper data exploration, and more informed decision-making, leading to superior financial planning and forecasting outcomes. This integration leverages the strengths of both platforms for a comprehensive financial management solution.

The major prerequisite for Budgeting & Forecasting application is atomicity of the matured, clean and reconciled data which is generally available in any proven ERP or CRM. Of course the matured data can be generated by matured users. Else even though the inbound or outbound interfaces are built between the B&F application and the legacy data system, the chances of failure are much more.

I dont think it is as simple as this... the requirements of the system should meet the needs of what your outcome is. Careful that you don't mould your whole forecasting around what the system needs. If you need real time.. then your use case should represent this. Data when you need it is important...

Linking real-time data with forecast investment and planning models revolutionizes financial management. By integrating live data feeds, you ensure your models reflect the most current market conditions, improving accuracy. This dynamic approach allows for immediate adjustments to investment strategies based on real-world changes, enhancing responsiveness. Real-time data integration facilitates better risk management, timely decision-making, and optimal resource allocation, ultimately driving more reliable forecasts and effective financial planning. This connectivity ensures your financial models remain relevant and actionable.

Business isn't like a go-kart ride; every decision takes time to implement and show results. It's essential to have review periods to assess budgets and make informed decisions.

Tener datos en tiempo real es un desafío a pesar de que la tecnología ha avanzado en estos temas, por lo que considero que conseguir un software que pueda mantener actualizada la información lo más real posible es un plus q debería ser imprescindible sobre todo para la buena toma de decisiones financieras y comerciales.

True. But most of the time the decision makers experience it as a mith. This is not only a role of a good B&F application especially for financial data as it should get complimented by local taxation system data with online changes, export or multi currency data with volatile transaction rates, with necessary and sufficiently modest hardware and networking and with efficient data integration. If any of these or any essential lag any moment, the forecasting indicators remain only for its records and the actual decision making again turns to good old excel sheets with tired user faces ! So, it is not that much simple as it feels from the given statement .

I agree. User friendliness is the most critical and essential part in adopting the software. So the training part must be focused more with variety of live and dummy scenarios and examples.

O Plano de contas e centros de custos é a alma da empresa, por isso ter como base uma contabilidade permite a flexibilidade nas parametriza??es das regras de simula??es. Nele, é possível armazenar o DNA dos seus fundadores e gestores, com informa??es hereditárias que moldam e replicam o comportamento genético das decis?es! Os critérios contábil-gerenciais permitem maior acuracidade nas parametriza??es.

The customisation comes with the word 'avoidance' hand in hand. One has to segregate the Needs and Wants before any customisation. Else the entire customisation has to be kept in a showcase immediately after it gets developed as during the development either the business situation gets changed or the approach towards handling auch scenario changes. So the customisation must be done only where we can save data entry redundancy or error minimisation or some prolonged activity time is curtailed to get desired output. Also one has to be very careful while designing the customisation considering the version improvement of the base application.

Além dos recursos de seguran?a contra ataques cibernéticos, aconselhamos um controle de acesso em nível de contas e centros de custos. Exemplo: a conta salário somente pessoas autorizadas ter?o acesso nas consultas e relatórios.

I think it's important to consider fit for purpose. One size doesn't fit all when it comes to software tools with Budgeting. Ensure it's the right one you're after. You might want to also check if it allows integration, automation or forecasting abilities built into it as this could make your life a lot easier.

Not only does the size of your business impact your choices, but also the maturity of the business (i.e. is it in a rapid growth phase, or is it slow steady growth), the business model (i.e. a single product, or a group of many different products, services , locations and currencies) and the ability/willingness of the business to adopt and use the information that will be generated by the system.

In addition to historical data, the software should have features to collect feedback from employees at all levels about the core changes the company plans to make. This feedback should be easily integrated and visible in the budget visuals.

An advanced budgeting and forecasting software can offer productivity improvement and huge cost avoidance. Specifically, there is no need to have a bunch of people who makes data entry, pull out data from an ERP system, and forecast in Excel, which used to be my job long time ago. Given the advanced budgeting and forecasting software, there should be one senior analyst who can harness the power of the system to cater to decision-making promptly, which leads to productivity booster. Additionally, what if we use a manual or old-fashionable forecasting tool, we could probably come up with incorrect results, which literally does not support decision-making purposes, but the business would suffer eventually.

Um cenário or?amentário é um instante entre o futuro e o presente, que pode sem materilizado em números contábil-financeiro para decis?o e negócia??o. Ou seja: é possível negociar os resultados futuros, com recursos no presente, capazes de eliminar dores essenciais atuais.