In the modern business landscape, organisations are inundated with an overwhelming volume of data. This phenomenon results in a ‘data deluge’ and presents both challenges and opportunities.<\/p>\n
While the sheer amount of data can be daunting, it becomes an invaluable asset for informed decision-making when harnessed effectively.<\/p>\n
Understanding Data Deluge and Its Consequences<\/strong><\/h2>\nData deluge is characterised by the influx of vast amounts of data, arriving at an unprecedented speed from myriad sources. Organisations find themselves awash in information, struggling to sift through it, much less convert it into actionable insights. The consequences of this data overload are significant. Decision-making processes become cumbersome, insights are obscured, and the organisation’s agility is hampered.<\/p>\n
Enter big data analytics\u2014a powerful tool equipped to turn the tide of data deluge, transforming it into an organisational asset.<\/p>\n
Big Data Analytics: The Solution<\/strong><\/h2>\nBig data analytics refers to the process of examining large and varied datasets to uncover valuable information such as patterns, correlations, trends, and insights. It involves using advanced statistical, computational, and mathematical techniques and algorithms to analyse data and derive meaningful conclusions that can inform decision-making.<\/p>\n
This booming sector is not just a buzzword but a significant economic contributor. In 2022, the big data analytics market was worth $271.83 billion globally<\/a>. It’s expected to increase in value from $307.52 billion in 2023 to $745.15 billion by 2030, growing at a rate of 13.5% each year during that period.<\/p>\nBig data analytics transcends traditional analytics by employing sophisticated algorithms, artificial intelligence<\/a>, and other advanced technological tools. It doesn’t just manage large datasets; it extrapolates trends, predicts outcomes, and informs strategies. Where traditional analytics may falter under the weight of extensive data, big data analytics emerges robust, offering insights that are not just timely but predictive and prescriptive.<\/p>\nTop 5 Ways Big Data Analytics Benefits Businesses<\/strong><\/h2>\nIn the unfolding narrative of business intelligence best practices, BI analytics, and data-driven decision-making, the conversation is shifting. It’s not just about the volume of data but the value that can be extracted from it. It’s about using\u00a0advanced analytics tools for executive decision-making.<\/p>\n
In this journey, big data analytics isn’t just a tool; it is a catalyst, a strategic asset redefining the contours of competitive advantage and organisational excellence. Here are some of the top ways big data benefits businesses:<\/p>\n
<\/p>\n
\n- Informed Decision-Making. <\/strong>In the midst of a data deluge, organisations are realising the crucial role of big data analytics. It offers informed decision-making by presenting data in a context, ensuring that conclusions are not just intuitive but backed by concrete data.<\/li>\n
- Improved Operational Efficiency. <\/strong>Operational efficiency is enhanced as data-driven insights streamline processes, reduce waste, and optimise resource allocation.<\/li>\n
- Enhanced Customer Insights. <\/strong>Enhanced customer insights emerge from the ability to analyse complex data sets. Trends, preferences, and patterns previously concealed are now illuminated, offering a pathway to personalised service and product offerings.<\/li>\n
- Competitive Advantage. <\/strong>This analytic prowess seeds competitive advantage, placing organisations at the forefront of innovation, responsiveness, and market leadership.<\/li>\n
- Innovation and Product Development. <\/strong>With big data analytics tools, businesses are not just responding to market dynamics but anticipating them. This fosters a climate of data-driven innovation and product development rooted in the insights provided by predictive analytics applications.<\/li>\n<\/ul>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/precisebusiness.com\/NL\/wp-content\/uploads\/sites\/3\/2023\/10\/Moving-From-Data-Deluge-to-Big-Data-Analytics.png” alt=”Harness the Value of Large and Complex Datasets” title_text=”Moving From Data Deluge to Big Data Analytics” _builder_version=”4.20.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.20.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Text” _builder_version=”4.25.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”0px||||false|false” global_colors_info=”{}”]<\/p>\n
The Synergy of ERP and Big Data Analytics<\/span><\/strong><\/h2>\nERP, or enterprise resource planning, is a type of software that organisations use to manage day-to-day activities such as accounting, procurement, project management, risk management and compliance, and supply chain operations. It acts as a central hub, streamlining processes by collecting, storing, managing, and interpreting data from various business units.<\/p>\n
Combining ERP and big data analytics strategies translates to amplified insights and enhanced decision-making. It marries the operational capabilities of ERP, a facilitator of streamlined business processes and real-time information access, with the predictive and prescriptive prowess of big data analytics.<\/p>\n
This integration results in a more responsive, agile, and data-informed organisation. Each element complements the other, with ERP laying the groundwork of structured data management and big data analytics providing depth and foresight\u2014leading to the organisation’s enhanced ability to make informed and timely decisions.<\/p>\n
Benefits of Integrating ERP and Big Data<\/span> Analytics<\/span><\/strong><\/h2>\nOperational Efficiency<\/h3>\n
The synergy of ERP and big data optimises business processes. By unearthing patterns and trends in data, organisations can streamline operations, reduce inefficiencies, and enhance productivity, driving substantial improvements in operational effectiveness.<\/p>\n
Personalised Customer Experiences<\/h3>\n
Combining the real-time data processing of ERP with the analytic capabilities of big data allows for a deeper understanding of customer behaviours and preferences. Businesses can tailor offerings and interactions, enhancing customer satisfaction and loyalty through hyper-personalised experiences<\/a>.<\/p>\nRisk Mitigation<\/h3>\n
ERP and big data together offer enhanced risk management. By analysing data patterns, trends, and anomalies, businesses can identify and mitigate risks, from operational to financial and reputational, with greater precision and effectiveness.<\/p>\n
Cost Reduction<\/h3>\n
Efficiency gains and optimised operations translate to cost savings. Enhanced insights into resource allocation, process performance, and supply chain dynamics lead to informed decisions that minimise costs while maximising value.<\/p>\n
Strategic Agility<\/h3>\n
In a fast-paced business environment, adaptability is key. The integration of ERP and big data ensures that organisations are nimble, able to adapt strategies and operations in response to evolving market dynamics.<\/p>\n
Data Quality and Accuracy<\/h3>\n
Combining ERP and big data enhances the quality and accuracy of data. It ensures consistent, reliable data that forms the basis for insights, analytics, and decision-making, driving confidence in business strategies and actions.<\/p>\n
Enhanced Collaboration<\/h3>\n
With integrated systems, data is easily accessible and shareable across departments. It fosters collaboration, ensures that all team members are informed, and aligns strategies and actions across the organisation\u2014driving cohesive, unified efforts towards business objectives.<\/p>\n
Comparing ERP with Embedded vs. Integrated Big Data Analytics<\/strong><\/h2>\nChoosing between an ERP system with embedded<\/em> big data analytics and an ERP system with integrated<\/em> big data analytics is pivotal.<\/p>\nEmbedded analytics offers the advantage of a seamless user experience, unified data models, and streamlined workflows. It’s an all-in-one solution where analytics is a core function of the ERP system, ensuring real-time insights and actions.<\/p>\n
In contrast, ERP with integrated big data analytics involves connecting the ERP system with external analytics tools. It offers flexibility, specialised capabilities, and the opportunity to leverage cutting-edge analytics technologies. The choice between the two largely depends on an organisation’s specific needs, existing infrastructure, and the complexity of its analytics requirements.<\/p>\n
Epicor\u2019s industry productivity software<\/a> exemplifies the convergence of ERP and embedded big data analytics, offering tailored solutions that align with organisational nuances, industry dynamics, and market demands. Ensuring organisations are not just participants in the market but are influencers shaping the trajectories of their respective industries.<\/p>\nIs your business leveraging ERP and big data analytics for sustainable growth?<\/p>\n
<\/p>\n
[\/et_pb_text][et_pb_text admin_label=”Text” _builder_version=”4.27.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”94px” custom_margin=”-35px|||||” global_colors_info=”{}”]<\/p>\n
Inspired to Act?<\/strong><\/h2>\nBook a Discovery Call<\/a>\u00a0with our ERP expert in the Benelux region to learn more about how an ERP system can transform your business.<\/p>\nSubscribe to our LinkedIn Newsletter<\/a>\u00a0and get alerts when we post about topics that matter to you.<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"
The convergence of ERP and embedded big data analytics, offers tailored solutions that align with organisational nuances, industry dynamics, and market demands. <\/p>\n","protected":false},"author":412,"featured_media":32968,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"
Thirty-five days. Just over one month. That's all the time you have to submit the first aged care provider Quarterly Financial Report (QFR) after\u00a0the end of the July-September quarter.\u00a0<\/span><\/p>\r\nIt might seem like a long lead time, but extracting and compiling data across many different business areas is time-consuming - especially if you don't have a single source of truth to tap into or a system that connects all business processes and enables automatic extraction of relevant data.<\/p>\r\n
Instead, what lies ahead is hours and hours of manual data collection. You will need to check and double-check for human error. You will need to gather in-depth information from HR, Payroll, Operations, Governance, Facilities and Asset Management, IT, Food and Nutrition Services, and Finance. You will need to sift through reams of spreadsheets to extract the information you need. The thought of it is mind-boggling.<\/p>\r\n
Your current processes only add to the complexity. They don't allow you to capture all the information required to meet stringent accountability, reporting, and record-keeping obligations, let alone the quality of care compliances tied to funding.<\/p>\r\n
You've got 35 days, but you've done the math, and your quarterly reporting requirement could take four weeks to compile. To make matters worse, you are already operating with limited staff resources, and the extra admin work introduced following the Aged Care Reform<\/a> has left you struggling with the new pressures.<\/p>\r\nThe future is overwhelming. Once this reporting period is finished, there's little time before the entire process is repeated. There is, however, a silver lining.<\/p>\r\n
The data-gathering process will reveal a goldmine of information you can use to shape a business case for investing in improvement measures. An easier approach is needed - there's no denying it - and you've decided an ERP software system could be the answer. The right ERP<\/a> will equip your organisation with the tools needed to produce compliance reporting, pull together reporting data, and increase productivity and efficiency. All this equates to significant time and money savings.<\/p>\r\nA single source of truth is not a pipedream. It can be a reality. Here's why the new Aged Care QFR doesn't have to be a taxing time.<\/p>\r\n
![\"\"](\"https:\/\/precisebusiness.com\/wp-content\/uploads\/2022\/08\/QFR-deparmental-requirements-.png\")
<\/a><\/p>\r\n<\/p>\r\n
What Information is Needed for Quarterly Financial Reporting?\u00a0\u00a0<\/strong><\/h2>\r\nThe QFR has five distinct sections:<\/a><\/p>\r\n\r\n- Viability and prudential compliance questions:<\/strong> The government will use your responses to these questions as indicators of viability and prudential concerns.<\/li>\r\n
- Quarterly financial statements:<\/strong> The government will assess your financial information to paint a picture of the sector's overall performance.<\/li>\r\n
- Residential care labour cost and hours reporting:<\/strong> This information will be used to determine your star rating and shape costing studies under the newly introduced AN-ACC funding model.<\/a><\/li>\r\n
- Home care labour cost and hours reporting:<\/strong> The government is using a sharp increase in the scope of reporting for home care services to enhance transparency and improve accountability. The reporting requirements are now more closely aligned to those in residential care.<\/li>\r\n
- Quarterly Food and Nutrition report:<\/strong> This report has replaced the existing Basic Daily Fee (BDF) supplement<\/a> report.<\/li>\r\n<\/ul>\r\n
Residential aged care providers must submit four of the five sections, including the viability and prudential compliance questions, quarterly financial statements, residential care labour cost and hours reporting, and quarterly food and nutrition report.<\/p>\r\n
Home care service providers must complete three of the five sections, including viability and prudential compliance questions, quarterly financial statements, and home care labour cost and hours reporting.<\/p>\r\n
How Difficult is it to Produce and Submit the Required Reports Manually?\u00a0<\/strong><\/h2>\r\nHow difficult and time-consuming the reporting process is will depend on several factors, one being how you store your information. If you data is not stored in a unified systems, or can be easily extracted and consolidated into a central data store, you will have to invest more resources into your QFR process.<\/p>\r\n
For example, you may have to draw from several source pools, including your CRM, payroll and accounting software, project management tools, and human capital management. If you can't easily navigate these tools yourself, you'll need to speak with various area managers and wait for them to response with the correct data.<\/p>\r\n
From there, you'll need to collate the data, read through the information, identify relevant insights, and manipulate the data into spreadsheets. then, you'll need to double-check that you've entered everything error-free and that your formula's are working as they should be. Finally, you can submit the information to the department's online portal.<\/p>\r\n
What are the Risks of Reporting Manually?\u00a0<\/strong><\/h2>\r\nAll government-funded aged care service providers must meet the Aged Care Quality Standards.<\/a> The QFR is one aspect of ensuring your organisation meets these stringent regulations. Even if human error is to blame, failing to provide accurate information can have far-reaching consequences, including:<\/p>\r\n\r\n- Financial penalties:<\/strong> You may be liable to pay financial penalties if your information is not submitted on time of if you data is inaccurate.<\/li>\r\n
- Non- compliance:<\/strong> Your organisation's funding and operational viability are linked closely to quality assurance and your reporting obligations. Regulatory bodies will intervene if the viability of your operations is questioned or if you are found to be non-compliant. For example, the Commission keeps a record of every provider's performance<\/a> when it comes to reporting, which, along with other insights, determines a provider's risk profile. How the Commission responds to non-compliance depends on the scope of the offence and the overall risk profile.<\/li>\r\n
- Brand reputation:<\/strong> If you reputation is found to be non-compliant, your reputation, customers relationships, and market position could be severely and potentially irreparably damaged. The aged care environment is becoming increasingly competitive, a phenomenon only exacerbated by the introduction of the star rating system.<\/a><\/li>\r\n
- Succession planning:<\/strong> Manual reporting means developing a long-winded and sometimes unconventional process of gathering, sorting, and formatting information. This process likely included workarounds, making it too convoluted and complex to document. So, what happens if you leave the organisation? How will your successor cope with reporting?<\/li>\r\n<\/ul>\r\n
Take Note if you Experience These Manual Reporting Pain Points\u00a0<\/strong><\/h2>\r\nMany of our prospective customers have shared business inefficiencies, challenges, and pain points with us, all of which have impacted their ability to generate accurate QFR's. So as you undertake your reporting tasks keep an eye out for the following. These are tell-tale signs your organisation is in need of a systems refresh.<\/p>\r\n
\r\n- Seeking information demands complex communication, which is inefficient, time-consuming, and results in several back-and-forths.<\/li>\r\n
- Manual tasks are repetitive.<\/li>\r\n
- You are forced to allocated more time to business processes than looking after your clients.<\/li>\r\n
- Your current system does not provide the level of detail needed for new reporting requirements.<\/li>\r\n
- You are tasked with accessing a large number of business systems across your organisation to retrieve the information you need.<\/li>\r\n
- You are navigating multiple touchpoints that are working in silos.<\/li>\r\n
- The number of spreadsheets is becoming difficult to handle, and accurate analysis feels almost impossible.<\/li>\r\n
- Data is outdated or not available in real-time.<\/li>\r\n
- You don't have the visibility into your operations that you need to meet reporting and compliance obligations.<\/li>\r\n
- Your systems have become barriers preventing you from doing your job efficiently.<\/li>\r\n
- Your manual workload has forced you to source outside help.<\/li>\r\n
- Reporting timeframes have required you to put aside high-priority and growth-driving activities.<\/li>\r\n<\/ul>\r\n
Three Tips to Improve Your Business Case for a Transformation\u00a0<\/strong><\/h2>\r\nThe above pain points are all too familiar and investing in a system transformation is the only way to change things. If you feel compelled to present a strong business case highlighting the time and cost savings an ERP could deliver, here are three tips to sharpen your business case and secure buy-in for change:<\/p>\r\n
\r\n- Download a free business case template and keep a record of the challenges and issues you run into when gathering information from current business systems. How many hours are you spending chasing up the financials only to find they are outdated? How many back-and-forth emails have you shared with HR?<\/li>\r\n
- Consider documenting the challenges you face for each of the three of four reporting requirements your organisation is obligated to complete.<\/li>\r\n
- Seek support from colleagues in other areas of the organisation. Ask them to provide feedback on their experience with the reporting process and the resulting inefficiencies. You want to show that the current way of doing things adversely impacts all corners of the business. Plus, decision-makers are typically more approachable and more likely to address existing and emerging problems when multiple voices express concerns. The more perspectives you can gather, the stronger your case.<\/li>\r\n<\/ul>\r\n
Start Building Your Business Case to Drive Change Today\u00a0<\/strong>\u00a0<\/strong><\/h2>\r\nNeed help formulating your business case for a new ERP system? We can help.<\/p>\r\n
Precise Business Solutions have extensive aged care industry-specific experience and purpose-built software to meet your unique requirements. We can help you find which parts of your organisation that are starting to hinder your efforts to grow. In a one-to-two hours hands-on workshop, we can help you uncover the root cause of your critical business challenges and lay the groundwork for project success. The best bit? It's absolutely FREE of charge.<\/p>\r\n
Big data analytics refers to the process of examining large and varied datasets to uncover valuable information such as patterns, correlations, trends, and insights. It involves using advanced statistical, computational, and mathematical techniques and algorithms to analyse data and derive meaningful conclusions that can inform decision-making.<\/p>\n
This booming sector is not just a buzzword but a significant economic contributor. In 2022, the big data analytics market was worth $271.83 billion globally<\/a>. It’s expected to increase in value from $307.52 billion in 2023 to $745.15 billion by 2030, growing at a rate of 13.5% each year during that period.<\/p>\n Big data analytics transcends traditional analytics by employing sophisticated algorithms, artificial intelligence<\/a>, and other advanced technological tools. It doesn’t just manage large datasets; it extrapolates trends, predicts outcomes, and informs strategies. Where traditional analytics may falter under the weight of extensive data, big data analytics emerges robust, offering insights that are not just timely but predictive and prescriptive.<\/p>\n In the unfolding narrative of business intelligence best practices, BI analytics, and data-driven decision-making, the conversation is shifting. It’s not just about the volume of data but the value that can be extracted from it. It’s about using\u00a0advanced analytics tools for executive decision-making.<\/p>\n In this journey, big data analytics isn’t just a tool; it is a catalyst, a strategic asset redefining the contours of competitive advantage and organisational excellence. Here are some of the top ways big data benefits businesses:<\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/precisebusiness.com\/NL\/wp-content\/uploads\/sites\/3\/2023\/10\/Moving-From-Data-Deluge-to-Big-Data-Analytics.png” alt=”Harness the Value of Large and Complex Datasets” title_text=”Moving From Data Deluge to Big Data Analytics” _builder_version=”4.20.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.20.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Text” _builder_version=”4.25.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”0px||||false|false” global_colors_info=”{}”]<\/p>\n ERP, or enterprise resource planning, is a type of software that organisations use to manage day-to-day activities such as accounting, procurement, project management, risk management and compliance, and supply chain operations. It acts as a central hub, streamlining processes by collecting, storing, managing, and interpreting data from various business units.<\/p>\n Combining ERP and big data analytics strategies translates to amplified insights and enhanced decision-making. It marries the operational capabilities of ERP, a facilitator of streamlined business processes and real-time information access, with the predictive and prescriptive prowess of big data analytics.<\/p>\n This integration results in a more responsive, agile, and data-informed organisation. Each element complements the other, with ERP laying the groundwork of structured data management and big data analytics providing depth and foresight\u2014leading to the organisation’s enhanced ability to make informed and timely decisions.<\/p>\n The synergy of ERP and big data optimises business processes. By unearthing patterns and trends in data, organisations can streamline operations, reduce inefficiencies, and enhance productivity, driving substantial improvements in operational effectiveness.<\/p>\n Combining the real-time data processing of ERP with the analytic capabilities of big data allows for a deeper understanding of customer behaviours and preferences. Businesses can tailor offerings and interactions, enhancing customer satisfaction and loyalty through hyper-personalised experiences<\/a>.<\/p>\n ERP and big data together offer enhanced risk management. By analysing data patterns, trends, and anomalies, businesses can identify and mitigate risks, from operational to financial and reputational, with greater precision and effectiveness.<\/p>\n Efficiency gains and optimised operations translate to cost savings. Enhanced insights into resource allocation, process performance, and supply chain dynamics lead to informed decisions that minimise costs while maximising value.<\/p>\n In a fast-paced business environment, adaptability is key. The integration of ERP and big data ensures that organisations are nimble, able to adapt strategies and operations in response to evolving market dynamics.<\/p>\n Combining ERP and big data enhances the quality and accuracy of data. It ensures consistent, reliable data that forms the basis for insights, analytics, and decision-making, driving confidence in business strategies and actions.<\/p>\n With integrated systems, data is easily accessible and shareable across departments. It fosters collaboration, ensures that all team members are informed, and aligns strategies and actions across the organisation\u2014driving cohesive, unified efforts towards business objectives.<\/p>\n Choosing between an ERP system with embedded<\/em> big data analytics and an ERP system with integrated<\/em> big data analytics is pivotal.<\/p>\n Embedded analytics offers the advantage of a seamless user experience, unified data models, and streamlined workflows. It’s an all-in-one solution where analytics is a core function of the ERP system, ensuring real-time insights and actions.<\/p>\n In contrast, ERP with integrated big data analytics involves connecting the ERP system with external analytics tools. It offers flexibility, specialised capabilities, and the opportunity to leverage cutting-edge analytics technologies. The choice between the two largely depends on an organisation’s specific needs, existing infrastructure, and the complexity of its analytics requirements.<\/p>\n Epicor\u2019s industry productivity software<\/a> exemplifies the convergence of ERP and embedded big data analytics, offering tailored solutions that align with organisational nuances, industry dynamics, and market demands. Ensuring organisations are not just participants in the market but are influencers shaping the trajectories of their respective industries.<\/p>\n Is your business leveraging ERP and big data analytics for sustainable growth?<\/p>\n <\/p>\n [\/et_pb_text][et_pb_text admin_label=”Text” _builder_version=”4.27.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”94px” custom_margin=”-35px|||||” global_colors_info=”{}”]<\/p>\n Book a Discovery Call<\/a>\u00a0with our ERP expert in the Benelux region to learn more about how an ERP system can transform your business.<\/p>\n Subscribe to our LinkedIn Newsletter<\/a>\u00a0and get alerts when we post about topics that matter to you.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" The convergence of ERP and embedded big data analytics, offers tailored solutions that align with organisational nuances, industry dynamics, and market demands. <\/p>\n","protected":false},"author":412,"featured_media":32968,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":" Thirty-five days. Just over one month. That's all the time you have to submit the first aged care provider Quarterly Financial Report (QFR) after\u00a0the end of the July-September quarter.\u00a0<\/span><\/p>\r\n It might seem like a long lead time, but extracting and compiling data across many different business areas is time-consuming - especially if you don't have a single source of truth to tap into or a system that connects all business processes and enables automatic extraction of relevant data.<\/p>\r\n Instead, what lies ahead is hours and hours of manual data collection. You will need to check and double-check for human error. You will need to gather in-depth information from HR, Payroll, Operations, Governance, Facilities and Asset Management, IT, Food and Nutrition Services, and Finance. You will need to sift through reams of spreadsheets to extract the information you need. The thought of it is mind-boggling.<\/p>\r\n Your current processes only add to the complexity. They don't allow you to capture all the information required to meet stringent accountability, reporting, and record-keeping obligations, let alone the quality of care compliances tied to funding.<\/p>\r\n You've got 35 days, but you've done the math, and your quarterly reporting requirement could take four weeks to compile. To make matters worse, you are already operating with limited staff resources, and the extra admin work introduced following the Aged Care Reform<\/a> has left you struggling with the new pressures.<\/p>\r\n The future is overwhelming. Once this reporting period is finished, there's little time before the entire process is repeated. There is, however, a silver lining.<\/p>\r\n The data-gathering process will reveal a goldmine of information you can use to shape a business case for investing in improvement measures. An easier approach is needed - there's no denying it - and you've decided an ERP software system could be the answer. The right ERP<\/a> will equip your organisation with the tools needed to produce compliance reporting, pull together reporting data, and increase productivity and efficiency. All this equates to significant time and money savings.<\/p>\r\n A single source of truth is not a pipedream. It can be a reality. Here's why the new Aged Care QFR doesn't have to be a taxing time.<\/p>\r\n <\/p>\r\n The QFR has five distinct sections:<\/a><\/p>\r\n Residential aged care providers must submit four of the five sections, including the viability and prudential compliance questions, quarterly financial statements, residential care labour cost and hours reporting, and quarterly food and nutrition report.<\/p>\r\n Home care service providers must complete three of the five sections, including viability and prudential compliance questions, quarterly financial statements, and home care labour cost and hours reporting.<\/p>\r\n How difficult and time-consuming the reporting process is will depend on several factors, one being how you store your information. If you data is not stored in a unified systems, or can be easily extracted and consolidated into a central data store, you will have to invest more resources into your QFR process.<\/p>\r\n For example, you may have to draw from several source pools, including your CRM, payroll and accounting software, project management tools, and human capital management. If you can't easily navigate these tools yourself, you'll need to speak with various area managers and wait for them to response with the correct data.<\/p>\r\n From there, you'll need to collate the data, read through the information, identify relevant insights, and manipulate the data into spreadsheets. then, you'll need to double-check that you've entered everything error-free and that your formula's are working as they should be. Finally, you can submit the information to the department's online portal.<\/p>\r\n All government-funded aged care service providers must meet the Aged Care Quality Standards.<\/a> The QFR is one aspect of ensuring your organisation meets these stringent regulations. Even if human error is to blame, failing to provide accurate information can have far-reaching consequences, including:<\/p>\r\n Many of our prospective customers have shared business inefficiencies, challenges, and pain points with us, all of which have impacted their ability to generate accurate QFR's. So as you undertake your reporting tasks keep an eye out for the following. These are tell-tale signs your organisation is in need of a systems refresh.<\/p>\r\n The above pain points are all too familiar and investing in a system transformation is the only way to change things. If you feel compelled to present a strong business case highlighting the time and cost savings an ERP could deliver, here are three tips to sharpen your business case and secure buy-in for change:<\/p>\r\n Need help formulating your business case for a new ERP system? We can help.<\/p>\r\n Precise Business Solutions have extensive aged care industry-specific experience and purpose-built software to meet your unique requirements. We can help you find which parts of your organisation that are starting to hinder your efforts to grow. In a one-to-two hours hands-on workshop, we can help you uncover the root cause of your critical business challenges and lay the groundwork for project success. The best bit? It's absolutely FREE of charge.<\/p>\r\nTop 5 Ways Big Data Analytics Benefits Businesses<\/strong><\/h2>\n
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The Synergy of ERP and Big Data Analytics<\/span><\/strong><\/h2>\n
Benefits of Integrating ERP and Big Data<\/span> Analytics<\/span><\/strong><\/h2>\n
Operational Efficiency<\/h3>\n
Personalised Customer Experiences<\/h3>\n
Risk Mitigation<\/h3>\n
Cost Reduction<\/h3>\n
Strategic Agility<\/h3>\n
Data Quality and Accuracy<\/h3>\n
Enhanced Collaboration<\/h3>\n
Comparing ERP with Embedded vs. Integrated Big Data Analytics<\/strong><\/h2>\n
Inspired to Act?<\/strong><\/h2>\n
<\/a><\/p>\r\nWhat Information is Needed for Quarterly Financial Reporting?\u00a0\u00a0<\/strong><\/h2>\r\n
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How Difficult is it to Produce and Submit the Required Reports Manually?\u00a0<\/strong><\/h2>\r\n
What are the Risks of Reporting Manually?\u00a0<\/strong><\/h2>\r\n
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Take Note if you Experience These Manual Reporting Pain Points\u00a0<\/strong><\/h2>\r\n
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Three Tips to Improve Your Business Case for a Transformation\u00a0<\/strong><\/h2>\r\n
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Start Building Your Business Case to Drive Change Today\u00a0<\/strong>\u00a0<\/strong><\/h2>\r\n