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He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. The engineering team he leads is responsible for building and maintaining Microsoft Azure, Dynamics 365, Windows/Windows Server, HoloLens, Visual Studio/Visual Studio Code, GitHub, SQL Server, and Power BI. . Maximiser, Miller Heiman and more.
As inflation and possible economic stagnation continue to be at the forefront of business leaders’ minds, implementing a digital transformation strategy is a growing way to combat those concerns. Dealing with multiple siloed operational data sources is killing your operational team’s productivity.
However, Oracles native reports dont cover the full gamut of an organizations reporting needs while OBIEE requires technical expertise to operate and maintain. Buy Oracle-driven finance teams are overwhelmed by data. As you look for an alternative, where do you start? A significant portion of time is wasted with manual processes.
These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Software upgrades and maintenance are commonly included for an additional 15 to 30 percent annual fee. Pricing model: The pricing scale is dependent on several factors.
Because a single API page or query extension can only serve a single designated purpose, the number of extensions can accumulate over a period of time and will require ongoing maintenance. That necessitates a lot of work by highly skilled technical experts, which translates to more time, money, and more ongoing maintenance.
In mid- to late 2019, for example, no one expected that a year later, businesses would shut down, supplychains would be disrupted, and demand curves would undergo dramatic shifts across virtually every industry. In one theoretical model, the company might focus exclusively on selling to large customers.
W ith a n advanced operational reporting solution that delivers proper data analysis , you can put your best foot forward. Your supplychains are under constant pressure, and this can make it hard to drive efficiencies that meaningfully impact your carbon footprint. Total dependence on fossil fuels.
Then, you must maintain those customized reports and sometimes even modify them down the road. Businesses can automate the processes to transform and combine legacy data together with current data from multiple sources, in one consolidated reporting and analytics platform.
Predictive analytics is becoming more common across all business applications, like CRM, supplychain and marketing automation. By forecasting demand, identifying potential performance bottlenecks, or predicting maintenance needs, the team can allocate resources more efficiently.
AI and the SupplyChain After a string of rocky years for the global supplychain, this year has seen greater stability. According to a recent study by Boston Consulting Group, 65% of global executives consider supplychain costs to be a high priority. What support and budget do we need to implement AI?
Sustaining growth amidst economic uncertainty demands immediate, clear insights from your SAP data to inform strategic decision-making. The aftershocks of pandemic disruption continue to put pressure on supplychains, increasing the need for robust oversight to maintain operational stability and customer satisfaction.
Leaning on Master Data Management (MDM), the creation of a single, reliable source of master data, ensures the uniformity, accuracy, stewardship, and accountability of shared data assets. BI, on the other hand, transforms raw data into meaningful insights, enabling better decision-making.
Data quality concerns: Data quality is impacted by inconsistent and incomplete data, stifling accurate reporting and analysis. To give you a real-world application, supplychains all over the world are having to adjust.
Here are the burdens facing your team with on-premises ERP solutions: Too complex: ERP datamodels are complex and difficult to integrate with other ERPs, BI tools, and cloud data warehouses. Changes made to a datamodel often require technical support including, but not limited to, a forced reboot of connected applications.
Challenges for Oracle Users Many factors put pressure on product delivery cycles and supplychains. Without deep insights into your organization’s operations, your stakeholders lack a clear understanding of company-wide performance and data analysis to shape the future.
So, you’re working for a medium to large enterprise that uses Microsoft Dynamics 365 Finance & SupplyChain (D365 F&SCM) as its ERP system. But if your business is growing, you are probably looking to push beyond the out-of-the-box capabilities to develop your own custom analysis and meaningful data insights.
While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & SupplyChain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.
Using third-party libraries also creates some challenges with respect to security, which must be implemented separately for each UI component. Data discovery applications also offer very limited customization, making it difficult to maintain consistent branding or control the end-user experience.
You’ll be able to analyze processes across the entire value chain with hundreds of calculated fields specifically designed to enrich your organization’s data. This means the whole organization, from Finance to supplychain, HR, plant maintenance, compliance and more. Excel is Not the Answer.
Overall, the biggest impact of data lakehouses is driving down the cost of storage and the ability it gives you to process more data. The Grass Isn’t Greener at the Lakehouse However it’s not all roses and sunshine, data lakehouses take significant time to implement and effort to maintain and extend.
Its seamless integration into the ERP system eliminates many of the common technical challenges associated with software implementation; unlike other tools that make you customize datamodels, Jet Reports works directly with the BC datamodel. This means you get real-time, accurate data without the headaches.
Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data warehouses can be complex, time-consuming, and expensive.
Use packaged ETL for Oracle business applications and an open interface to integrate data with existing business intelligence. Streamline the traditionally manual process of implementing reporting tools and enterprise-wide BI initiatives with more than 1,800 no-code business views and reports (pre-built content by module/subject area).
While investment in tax and transfer software has tended to lag that in core finance systems, adoption is maturing and pressure from the office of the CFO to implement digital tools is beginning to grow. We must now work swiftly and diligently to ensure the effective implementation of this major reform.”
With economic volatility, geo-political unrest, and supplychain disruptions all stubbornly impacting global markets, traditional processes are giving way to new processes. Amidst this data lies an opportunity. Enter operational reporting, the change agent in our story.
Too difficult & inflexible: Oracle datamodels are complex and difficult to integrate with other ERPs, BI tools, and cloud data warehouses. Changes made to the datamodel will often require technical support including, but not limited to, a forced reboot of connected applications.
Use packaged ETL for Oracle business applications and an open interface to integrate data with existing business intelligence. Streamline the traditionally manual process of implementing reporting tools and enterprise-wide BI initiatives with more than 1,800 no-code business views and reports (pre-built content by module/subject area).
The lion’s share of the hard, detailed work rests in operational transfer pricing – the practice of tracking and maintaining transactions among related entities under a single corporate umbrella. This naturally leads to a diverse collection of ERP systems, each with its own unique datamodel and chart of accounts.
Research has pinpointed three key pain points that companies encounter with their SAP data: a prevailing sense of data distrust, a lack of maintenance and data cleansing, and a shortage of skilled users. Consistency Assurance: Through data cleansing, uniformity in data format and structure is achieved.
Their combined utility makes it easy to create and maintain a complete data warehouse solution with very little effort. Jet acts as the perfect conduit between your ERP data and Power BI. Unlock Rapid Data Analysis in PowerBI With Jet. Datamodels must be refreshed either manually or on a set schedule.
Three of the most important of these are: cloud migration, data standardization, and interoperability. With cloud migration that means making upgrades, licensing, procurement and maintenance simpler with software-as-a-service (SaaS) models. The aim of technology in finance is to remove friction.
Angles for Oracle delivers a context-aware, process-rich business datamodel, with a library of 1,800 pre-built, no-code business reports, and a high-performance process analytics engine for Oracle Business Applications, including EBS and OCA. is implemented via Angles Cloud. . Interested in upgrading?
Your ERP system alone produces data at an astonishing rate, usually surrounding core business activities such as financial accounting, manufacturing, supplychain management, and human resources. Ironically, this abundance of data is more likely to obscure business insights than illuminate them.
61% of organization leaders plan to implement process mining within the next year. The Angles Enterprise platform is built on more than 20 years of expertise working with enterprise companies across the world to transform data from SAP systems into actionable insights.
With fast, flexible dashboards and reports in Excel and Power BI, Jet allows you to bring all your data together in one place, enabling everyone in the organization to easily perform sophisticated business analysis from anywhere, anytime, without technical expertise. This allows you to implement re-usable business logic (e.g.,
Similarly, SAPinsider’s recent survey found that nearly half of respondents who currently have no plans to move to SAP S/4HANA cite the complexity of using their existing implementation as the main reason. Closing the Skills Gap Requires a Multipronged Approach 1.
Have A Single Version of the Truth Gathering and formatting data from multiple sources costs precious time and resources that can be better spent on value-add activities.
There are many other ways to represent this data relationally and numerous other datamodels that can be mapped. Over the years, we have encountered a variety of data types and successfully mapped all of them into sensible relational representations.
To do forecasting–financial, operational, or otherwise–out of the box, you need to create the datamodels behind the reports, then create the reports themselves. But there isn’t a simple solution for forecasting with Oracle alone. This is a highly technical process that requires multiple members of your team to complete.
This intuitive approach cuts through technical barriers, transforming even non-technical users into data-savvy decision makers. Advanced Analytics Functionality to Unveil Hidden Insights Logi Symphony allows you to perform on-the-fly datamodeling to swiftly adapt and integrate complex datasets directly within your existing applications.
Our rich visualizations, including tabular and pivot reporting, are ideal for presenting financial and operational reporting data. Angles is a highly intuitive BI tool with easy-to-use datamodels that help you realize the promise of self-service BI.
These systems accurately collect and organize transfer pricing data, model various tax scenarios, identify gaps in targeted profitability, and enable you to make corrections before closing the books. That way, you can use the time you save to take a step back so you can see the wider picture.
In recent years, supplychain delays have moved to the forefront of global news. An unprecedented blockage in the Suez Canal rocked the worldwide economy and highlighted the need for rapid, predictive supplychain insights. Here, we discuss three ways finance teams can cope with constant changes to the supplychain.
This requires access to data that’s real-time. These Solutions Solve Today’s (and Tomorrow’s) Challenges Your team needs to move faster and smarter real-time, accurate, functional views of transactional data enabling rapid decision-making.
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