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Rick is a well experienced CTO who can offer cloud computing strategies and services to reduce IT operational costs and thus improve the efficiency. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. His Cloud DevSecOps App Skills includes IBM, AWS, Google, Azure (Kubernetes multi-cloud.)
A recent KPMG report shows that 60% of leaders are gearing up to invest in cutting-edge digital technology to fortify their supplychain processes, elevate data synthesis, and amplify analysis capabilities. Dealing with multiple siloed operational data sources is killing your operational team’s productivity.
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. The sales cycle may be considerably longer and require more effort and expense, for example.
That requires technical expertise, which can be expensive. Most customers will end up paying expensive outside consultants to provide these services. That, in turn, creates long-term costs for your business. It includes pre-built projects, cubes, and datamodels, as well as a suite of ready-to-run reports and dashboards.
Building a reporting solution comes with a slew of benefits, for example: Reporting tailored to your organizations specific needs High levels of customizability Easy access to organizational data While building a custom solution ensures that you can tailor a solution to your business use cases, it comes at a significant time and monetary cost.
But the constant noise around the topic – from cost benefit analyses to sales pitches to technical overviews – has led to information overload. The result is a proprietary, multi-source datamodel for a single view of your business information. Cloud transition” is starting to feel like just another corporate buzzword.
Data visualizations are no longer driving revenue: Everyone from Google to Amazon now provides low-cost or no-cost visualization tools that drive down the perceived value of data visualizations. Users are coming to expect sophisticated analytics at little or no cost. cost reduction).
AI and the SupplyChain After a string of rocky years for the global supplychain, this year has seen greater stability. However, organizations aren’t out of the woods yet as it becomes increasingly critical to navigate inflation and increasing costs.
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.
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.
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.
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.
Additionally, many decision-makers perceive cloud solutions as more expensive. Most companies say that the added costs of the cloud are offset by other savings, such as eliminating hardware and data center expenses. Resistance to change is common, and business technology leaders are not immune.
This year, an Oracle survey of CFOs reveals CFO’s top challenges include navigating the need to cut costs, retaining talent within the finance function, and focusing on more accurate forecasting. These factors collectively contribute to the increasing complexity and expense of addressing finance skill gaps through internal development.
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.
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.
Predictive analytics is becoming more common across all business applications, like CRM, supplychain and marketing automation. This prevents over-provisioning and under-provisioning of resources, resulting in cost savings and improved application performance.
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.
As a response to emerging technology, data lakes took off along with the rise of big data. Data lakes make storing and harnessing large volumes of information easier and more efficient while reducing overall data storage costs. Ready to learn more?
Unlock Rapid Data Analysis in PowerBI With Jet. If you use Power BI alone to generate reports, the complexity of the Microsoft Dynamics datamodel can be an obstacle as it requires knowledge of its proprietary DAX scripting language. Datamodels must be refreshed either manually or on a set schedule.
The skills needed to create a data warehouse are currently in short supply, leading to long lead times, high costs, and unnecessary risks. Jet Analytics from insightsoftware helps bridge the gap between reporting and data visualization.
Angles for Oracle includes access to purpose-built technology that will extract, transform, rationalize, and organize data from any Oracle ERP you run, as well as from other non-ERP sources. The result is a proprietary, multi-source datamodel for a single view of your business information.
With a well-implemented MDM system, data in Power BI is clean, consistent, and enriched, allowing for more efficient datamodeling and faster analysis. Power ON helps break down these silos by integrating various tools and data sources into a unified ecosystem, ensuring smooth data flow across your technology stack.
They need to ensure that cost allocation rules and calculations are applied properly, that transfer pricing records are fully auditable, and that price-based forecasts can be adjusted over time as rates, rules, formulas, and data change. Getting it wrong can be costly.
SAP develops some of the most powerful business applications in the world, but it often does so at the expense of simplicity. Process Runner : Makes SAP data management fast and easy and it offers deep automation capabilities for all SAP modules including FICO, SD, HCM, MM, PP, SM, QM, and PS, and full support for SAP S/4HANA.
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.
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. Easy, protected IT management.
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.
Peter van Tiggelen: There’s a lot more scrutiny around cost and the capital deployed on the ROIs of the investments we are making. That saved us costs. This requires access to data that’s real-time. Do not assume that you’re going to have ever-increasing price increases for the current year.
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