IBM TM1, Agentic AI & Finance Transformation Insights

The right business intelligence software can help companies beat out the competition and become market leaders in their industry. We reveal how to leverage three key benefits of business intelligence software - and overcome some potential drawbacks! 1. Integration across disparate business systems In order to derive the best strategic insights, you typically need to analyse data from across a number of different systems. Your company’s operational results, for example, require a financial perspective. That means your business intelligence solution should be able to integrate data from various ...

Whenever User enters data in Websheet (Form), last entered data will be present on Form. If User needs to enter new record, it becomes tedious to clear data from each of the text box, if Form comprises good number of text boxes. This will not be best way of utilizing User services. To avoid or improve efficiency of User, TM1 can be designed in better way using multiple Cubes. Create 2 named cubes, lookup cube (Test_Lookup) and cube which contains data (Test_Emp) Below are details of Dimensionality and structure of cubes Input Form where User can create new record, update record. Clear Button: ...

Most of the times business would like to generate reports in different formats to show data in different periods. They might be interested to display each set of data in different fonts, colors with capability of Row expansion. The easiest way to develop those kind of reports is, using TM1 Active Forms. To achieve this functionality using Active Forms, developer should know how to make each data set independent of each other so that none of them have influence of other. Let’s see how to create multiple active forms in single websheet as shown below: Above both data sets are displayed using ...

Picking the right business intelligence tools for your organisation is essential in the current era of big data. With information coming from all angles, it’s imperative to leverage the best software to make sense of your data and parse it into actionable, meaningful decision-making. Why do you need business intelligence tools? In their most basic form, business intelligence tools allow you to ‘see’ your data. This means you can watch how your data creates patterns and correlations. That information – including statistics and current trends – can then be used to formulate plans for the ...

In our hyper-connected business world, organisations are often siloed and sometimes spread across multiple locations. Combine that with the fact that the majority of employees are ‘hooked in’ to company-wide systems via their smart devices, and you have a raft of users able to access data and alter it. The problem? This often creates version-control issues that not only impact productivity and the effectiveness of your business intelligence (BI), but can harm your reputation and profitability. What is a ‘single version of the truth’? When discussing ‘truths’ in the form of BI, it’s important ...

Writing rules can save a lot of trouble also can be tedious sometime, but what’s more troublesome than writing rules?! feeders ofcourse. One or the other time we all have wandered in the “feeder”land thinking if there was a way out. No matter how efficient we think we write the feeders, there are times it can mysteriously lead to underfeeding or overfeeding. So, this blog explains the scenarios of how feeding a consolidation, feed from a consolidation work and how it contributes to overfeeding. And this can help to take different approach next time you think of feeders and make it not so ...

Quick Answer: Predictive analytics uses statistical models and machine learning to forecast future outcomes, while prescriptive analytics goes further by recommending specific actions to optimise business decisions using IBM Decision Optimisation. Predictive analytics: Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. A way to predict the future using data from the past. Predictive analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive ...

This article talks about Business Intelligence and Business Analytics, things in common and about differences between one another. This blog also talks about the paybacks for an organization once these are adopted. Let’s start ... Though Business Intelligence and Business Analytics sound similar and are being used interchangeably by many, they do have differences. Business Intelligence ( BI ) :- Term Business Intelligence, though exist for long, have been used by wider audience from late 90s . Intelligence with in Business comes from the data being captured. Business Intelligence has been ...

As we have entered to this era of Data, we might be thinking that why is this Data Science field is so popular ?, why are companies and multinationals investing so much on this field of Data Science?. The answer is simple, because they are making profit out of it. This field has become very crucial and popular in todays market. Now let’s see the definition of Data science, according to Wikipedia Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Some of the common ...

There’s no question that more and more enterprises are employing analytics tools to help in their strategic business intelligence decisions. But there’s a problem - not all source data is of a high quality. Poor-quality data likely can’t be validated and labelled, and more importantly, organisations can’t derive any actionable, reliable insights from it. So how can you be confident your source data is not only accurate, but able to inform your business intelligence decisions? It starts with high-quality software. Finding the right software for business intelligence There are numerous business ...

Smart businesses are seeking out new ways to leverage the benefits of their big data analytics programs, and the self-service model is coming up trumps. By placing the onus directly on business users, enterprises are empowering customers with insights-driven dashboards, reports, and more. But it’s not the only bonus. Arguably an even greater upside for organisations is that it alleviates the talent shortage that often comes with big data. With most companies only employing a handful of data experts who can deliver analytics insights to customers, the self-service model means they are freed up ...

Many businesses have already turned to Octane and partnered with us to help turn their data into meaningful insights. So if you've wanted to connect your Planning Analytics to Power BI, you're not alone and now with us you can. Octane has developed a way you can work directly with IBM Planning Analytics (powered by TM1) and Microsoft Power BI! We've had a number of clients who have wanted to integrate Planning Analytics and Power BI without using external proprietary software we at Octane can say that we've answered the market's call. Planning Analytics powered by TM1 is one of the worlds ...