A number of modeling methods from machine learning, artificial intelligence, and statistics are available in predictive analytics software solutions for this task.. These analytics go beyond descriptive and predictive analytics by recommending one or more possible courses of action. 196 Jatisi ISSN 2407-4322 Vol. Companies use these statistics to forecast what might happen in the future. Prescriptive analytics is the next step of predictive analytics that adds the spice of manipulating the future. var e = document.createElement("script") Prescriptive Analytics; analisis ini digunakan untuk mengoptimalkan proses, struktur dan sistem melalui informasi yang dihasilkan dari Predictive Analytics. Predictive analytics helps predict the likelihood of a future outcome by using various statistical and machine learning algorithms but the accuracy of predictions is not 100%, as it is based on probabilities. He provides a unique blend of business and industry knowledge, leading successful efforts to integrate new technologies into effective supply chain solutions. PA adalah bagian dari Ilmu Analitiks (analytics) yang berbentuk algoritma ekstraksi informasi dari berbagai data set untuk menemukan pola-pola dan memprediksi tren dan hasil di masa depan. Use Descriptive Analytics when you need to understand at an aggregate level what is going on in your company, and when you want to summarize and describe different aspects of your business. Descriptive analytics are based on standard aggregate functions in databases, which just require knowledge of basic school math. At their best, prescriptive analytics predicts not only what will happen, but also why it will happen, providing recommendations regarding actions that will take advantage of the predictions. IBM ILOG CPLEX Optimization Studio is a prescriptive analytics solution that enables rapid development and deployment of decision optimization models using mathematical and constraint programming. These analytics are about understanding the future. Prescriptive analytics are relatively complex to administer, and most companies are not yet using them in their daily course of business. Want to learn more about descriptive, predictive and prescriptive analytics? The data for prescriptive analytics can be both internal (within the organization) and external (like social media data).Business rules are preferences, best practices, boundaries and other constraints. Credit score helps financial institutions decide the probability of a customer paying credit bills on time. Prescriptive Analytics; analisis ini digunakan untuk mengoptimalkan proses, struktur dan sistem melalui informasi yang dihasilkan dari Predictive Analytics. Essentially, you must interview the people that are going to both use and benefit from analytical tools, he added. loadScript("//widget.aggregage.com/bi/&keyword-LI=n&blog-group=supplychainbrief&keyword-selected-blog-id=0&overwrite-keywords=true&nw=false&widget-form-javascript=true&hide=true&time=" + new Date().getTime() + "&ref=" + document.referrer); You’re committed to rolling out an analytics platform across your supply chain and you have tons of data. Large scale organizations use prescriptive analytics for scheduling the inventory in the supply chain, optimizing production, etc. Descriptive Analytics -> Predictive Analytics / Optimization -> Automation. Prescriptive analytics Jenis analisis dalam data analytics ini memberikan rekomendasi tindakan yang bisa diambil perusahaan setelah melihat tren dan pola yang sedang berlangsung. One common application most people are familiar with is the use of predictive analytics to produce a credit score. (Think basic arithmetic like sums, averages, percent changes.) The big data industry is growing at a rapid pace due to various applications like smart power grid management, sentiment analysis, fraud detection, personalized offerings, traffic management, etc. They are analytics that describe the past. Predictive analytics provides better recommendations and more future looking answers to questions that cannot be answered by BI. Setiap proses kerja mempunyai input untuk diproses menjadi output, atau data input akan menghasilkan data output setelah mengalami proses kerja. The fox had access to a rich DataWarehouse, which consisted of data about the jungle, its creatures and events happening in the jungle. These statistics try to take the data that you have, and fill in the missing data with best guesses. This type of analytics, analyses the data coming in real-time and historical data for insights on how to approach the future. Companies use predictive statistics and analytics any time they want to look into the future. These metrics are used for social analytics like average response time, average number of replies per post, %index, number of page views, etc. It basically uses simulation and optimization to ask “What should a business do?”, Prescriptive analytics is an advanced analytics concept based on –. Click here to get free access. When implemented correctly, they can have a large impact on how businesses make decisions, and on the company’s bottom line. You use analytical skills when detecting patterns, brainstorming, observing, interpreting data, and making decisions based on the multiple factors and options available to you. Sentiment analysis is the most common kind of predictive analytics. Spark 2.0. The big data revolution has given birth to different kinds, types and stages of data analysis. Larger companies are successfully using prescriptive analytics to optimize production, scheduling and inventory in the supply chain to make sure they are delivering the right products at the right time and optimizing the customer experience. No one type of analytic is better than another, and in fact they co-exist with, and complement, each other. Menerapkan mindset analytical thinking dan problem-solving attitude. In order for a business to have a holistic view of the market and how a company competes efficiently within that market requires a robust analytic environment which includes: Descriptive Analytics: Insight into the past. Most of the social analytics are descriptive analytics. Control costs. The number of followers, likes, posts, fans are mere event counters. For all practical purposes, there are an infinite number of these statistics. In this article we explore the three different types of analytics -Descriptive Analytics, Predictive Analytics and Prescriptive Analytics - to understand what each type of analytics delivers to improve on, an organization’s operational capabilities. Tujuan pembelajaran modul ini adalah sebagai berikut. Membandingkan antara descriptive analytics, predictive analytics, dan prescriptive analytics. that are the outcome of basic arithmetic operations. 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All rights reserved. Organizations like Walmart, Amazon and other retailers leverage predictive analytics to identify trends in sales based on purchase patterns of customers, forecasting customer behaviour, forecasting inventory levels, predicting what products customers are likely to purchase together so that they can offer personalized recommendations, predicting the amount of sales at the end of the quarter or year. Text Analytics is the process of converting unstructured text data into meaningful data for analysis, to measure customer opinions, product reviews, feedback, to provide search facility, sentimental analysis and entity modeling to support fact based decision making. Analisis ini merujuk pada beberapa peristiwa di masa lalu berdasarkan data yang diperoleh. 2, Maret 2020, Hal. } Predictive Analytics: Understanding the future. Sistem membaca dan mengidentifikasi laporan dari berbagai sumber untuk mendapatkan kesimpulan. Tinjauan sistematis ini mengadopsi sebuah proses yang sebelumnya telah direncanakan yang bertujuan untuk meminimalisir bias Anytime you are stuck on your project, use our code recipes for just-in-time troubleshooting (these are ready-to-use for your projects), The subsequent step in data reduction is predictive analytics. As increasing number of organizations realize that big data is a competitive advantage and they should ensure that they choose the right kind of data analytics solutions to increase ROI, reduce operational costs and enhance service quality. AWS vs Azure-Who is the big winner in the cloud war? Operational analytics is a more specific term for a type of business analytics which focuses on improving existing operations. His experience includes development, design and go-to-market strategy of supply chain and advanced analytics products, helping clients with complex business problems to achieve complete visibility into their supply chain operations. Prescriptive analytics use a combination of techniques and tools such as business rules, algorithms, machine learning and computational modelling procedures. Analytics Predicative (Predicative Analytics) Kegunaan data analytics yang satu ini adalah untuk memprediksi sesuatu yang akan datang. Salah satu contoh kasus yang bisa dibedah adalah tingkat turnover karyawan yang tinggi. Mathematical models include natural language processing, machine learning, statistics, operations research, etc. Predictive maintenance breakdown. The past refers to any point of time that an event has occurred, whether it is one minute ago, or one year ago. In fact, no analytics can do that. Berikut adalah tipe business analytics: 1. Prescriptive analytics is the next step of predictive analytics that adds the spice of manipulating the future. Analysing past data patterns and trends can accurately inform a business about what could happen in the future. The three dominant types of analytics –Descriptive, Predictive and Prescriptive analytics, are interrelated solutions helping companies make the most out of the big data that they have. 1. These techniques are applied against input from many different data sets including historical and transactional data, real-time data feeds, and big data. To help release your Data Science projects faster we have put together a library of solved code example. To do so, they must conduct in-depth interviews with key stakeholders including business intelligence developers, administrators, and IT executives, said Levy. Descriptive analytics is leveraged when a business needs to understand the overall performance of the company at an aggregate level and describe the various aspects. Jika kamu melakukan predictive analytics ini, kamu juga akan menerapkan berbagai teknik statistik dan machine learning. Download our white paper Five Questions to Ask Advanced Analytics Solution Providers. document.getElementsByTagName("head")[0].appendChild(e) It is important to remember that no statistical algorithm can “predict” the future with 100% certainty. These techniques are applied against input from many different data sets including historical and transactional data, real-time data feeds, and big data. Diagnostic analytics is a form of advance analytics which examines data or content to answer the question “Why did it happen?”, and is characterized by techniques such as drill-down, data discovery, data mining and correlations. Daniel brings more than 10 years of experience in sales, marketing, supply chain planning, and advanced analytics. Prescriptive Analytics adalah state of the art, mimpi atau tujuan dari aktivitas analytics dan aktivitas Big Data. Optimization that helps achieve the best outcomes. A business learns from past behaviours to understand how they will impact future outcomes. 6, No. This is Automation. Prescriptive analytics ditandai dengan teknik seperti grafik, simulasi, complex event prosessing , neural network , recommendation engines , heuristic , dan machine learning . With the flood of data available to businesses regarding their supply chain these days, companies are turning to analytics solutions to extract meaning from the huge volumes of data to help improve decision making. Businesses can use the data-backed and data-found factors to create prescriptions for the business problems, that lead to realizations and observations. Organizations collect contextual data and relate it with other customer user behaviour datasets and web server data to get real insights through predictive analytics. Dr. Michael Wu, chief scientist of San Francisco-based Lithium Technologies describes descriptive analytics as -“The simplest class of analytics, one that allows you to condense big data into smaller, more useful nuggets of information.”. 195-211 E- ISSN 2503-2933 Darono, [Data Analytics Dalam Administrasi Pajak Di Indonesia: Kajian Institutional Arrangement] 1. Model-model ini menggunakan data masa lalu dan algoritma prediksi untuk … Prescriptive Analytics menambahkan saran pilihan keputusan dari prediksi yang sudah kita punya pada tahap Predictive Analytics Penjelasan … Each of these analytic types offers a different insight. across myriad industries. This data is pooled with historical data present in the CRM systems, POS Systems, ERP and HR systems to look for data patterns and identify relationships among various variables in the dataset. ... Prescriptive analytics: Analisis presriptif 1 langkah lebih maju dari analisis prediktif, analisi presriptif memberikan rekomendasi aksi yang terbaik untuk selanjutnya dan memungkinkan potensi memanipulasi peristiwa untuk mendorong hasil yang lebih baik. The goal of this apache kafka project is to process log entries from applications in real-time using Kafka for the streaming architecture in a microservice sense. Root Cause Analysis-Why this actually happened? Prescriptive Analytics. Prescriptive analytics menguji data dan konten untuk menentukan keputusan apa yang harus dibuat, dan langkah apa yang harus dilakukan untuk mencapai tujuan yang dimaksud. "That h… Prescriptive analytics use a combination of techniques and tools such as business rules, algorithms, machine learning and computational modelling procedures. e.type="text/javascript" In fact, what distinguishes a best data scientist or data analyst from others, is their ability to identify the kind of analytics that can be leveraged to benefit the business - at an optimum. Umumnya, data yang dianalisis menggunakan metode ini berupa angka atau matematis terapan. First, business professionals must determine the current state of analytical tool implementation and analytical capabilities within their organization. Get access to 100+ code recipes and project use-cases. Descriptive analysis or statistics does exactly what the name implies: they “describe”, or summarize, raw data and make it something that is interpretable by humans. Many organizations do not know where to begin, what kind of analytics can nurture business growth and what these different types of analytics mean. Predictive, Descriptive, Prescriptive Analytics in E-Commerce Tujuan dari data analytics adalah mendapatkan “ insight ” sehingga keputusan yang nantinya diambil menjadi lebih cerdas yang pada akhirnya membantu mendapatkan hasil bisnis yang lebih baik. Typical business uses include understanding how sales might close at the end of the year, predicting what items customers will purchase together, or forecasting inventory levels based upon a myriad of variables. Sebagian besar tergantung pada AI dan machine learning. Predictive analytics menjawab pertanyaan kamu tentang “apa yang akan terjadi di masa depan”. This Elasticsearch example deploys the AWS ELK stack to analyse streaming event data. A lioness hired a data scientist (fox) to help find her prey. Prescriptive analytics are comparatively complex in nature and many companies are not yet using them in day-to-day business activities, as it becomes difficult to manage. Pengertian, Perbedaan Business Analysis dan Business Analytics – Business Analyst adalah seseorang yang menganalisis sebuah organisasi, perusahaan maupun instansi secara (nyata atau hipotetis) dan mendesain proses dan sistem, menilai model bisnis menintegrasikannya dengan teknologi. Prescriptive analytics advises on possible outcomes and results in actions that are likely to maximise key business metrics. Essentially they predict multiple futures and allow companies to assess a number of possible outcomes based upon their actions. e2consulting.co.id - Salah satu ciri digital company adalah penggunaan data atau informasi dalam proses kerja, khususnya dalam menganalisis dan mengambil keputusan. They summarize certain groupings based on simple counts of some events. 1. Forecasting- What if the existing trends continue? The main objective of descriptive analytics is to find out the reasons behind precious success or failure in the past. To make predictions, algorithms take data and fill in the missing data with best possible guesses. The best example to explain descriptive analytics are the results, that a business gets from the web server through Google Analytics tools. Predictive analytics provides companies with actionable insights based on data. Predictive analytics is used by businesses to study the data and ogle into the crystal ball to find answers to the question “What could happen in the future based on previous trends and patterns?”, Dr. Michael Wu, chief scientist of San Francisco-based Lithium Technologies said -"The purpose of predictive analytics is NOT to tell you what will happen in the future. The vast majority of the statistics we use fall into this category. Stochastic optimization that helps understand how to achieve the best outcome and identify data uncertainties to make better decisions. In a nutshell, these analytics are all about providing advice. Data mining tasks can be descriptive, predictive and prescriptive. Next, the fox estimated the probability of finding a given prey at a certain place and time, using advanced ML techniques. Diagnostic analytics takes a deeper look at data to attempt to understand the causes of events and behaviors. The goal of this hadoop project is to apply some data engineering principles to Yelp Dataset in the areas of processing, storage, and retrieval. Berdasarkan hasilnya data analytics terbagi menjadi tiga jenis yaitu descriptive analytics, predictive analytics, dan prescriptive analytics (SAS, 2016). Analytics preskriptif adalah proses analytics yang menghasilkan jawaban atas pertanyaan kenapa sesuatu akan terjadi serta memberikan saran terhadap kondisi yang kemungkinan akan terjadi dimasa yang akan datang. Prescriptive analytics is a combination of data,  and various business rules. Predictive analytics adalah data analytics yang memberikan hasil prediksi tentang sesuatu yang akan datang dengan peningkatan daya komputasi dengan kemampuan menjalankan ratusan atau ribuan model dengan cepat dan adopsi teknik prediktif seperti support vector machines, neural networks dan random forests. Data mengenai pengunjung dan juga pembelian dapat dijadikan sebagai bahan perkiraan barang apa saja yang mungkin disukai oleh para pengunjung sehingga mereka tertarik untuk membeli barang tersebut. Berikutnya adalah analytics prediktif ... (Prescriptive Analytics). After the organizations collect big data, the next important step is to get started with analytics. Prescriptive analytics attempts to quantify the effect of future decisions in order to advise on possible outcomes before the decisions are actually made. Free access to solved use-cases with code can be found here (these are ready-to-use for your projects). Masing-masing jenis saling berkaitan satu sama lain. These scores are used by financial services to determine the probability of customers making future credit payments on time. Berbagai cara dapat ditempuh dalam mendapatkan “insight” yang sangat berharga ini. Use Predictive Analytics any time you need to know something about the future, or fill in the information that you do not have. Use Prescriptive Analytics any time you need to provide users with advice on what action to take. Tipe perspective analytics akan memberikanmu informasi tentang “apa yang harus dilakukan”. Predictive analytics provides estimates about the likelihood of a future outcome. Here we are just discussing the two of them descriptive and prescriptive. Get free access to 100+ ready-to-use Data Science code solutions - Click here, Free access to solved use-cases with code can be found here (these are ready-to-use for your projects), statistical and machine learning algorithms, click here to get sample use-cases with code, Click here to get free access to 100+ ready-to-use, analyses the data coming in real-time and historical data for insights, standard aggregate functions in databases, Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark, Real-Time Log Processing using Spark Streaming Architecture, Hadoop Project-Analysis of Yelp Dataset using Hadoop Hive, Spark Project -Real-time data collection and Spark Streaming Aggregation, Online Hadoop Projects -Solving small file problem in Hadoop, Explore features of Spark SQL in practice on Spark 2.0, Yelp Data Processing using Spark and Hive Part 2, Real-Time Log Processing in Kafka for Streaming Architecture, Top 100 Hadoop Interview Questions and Answers 2017, MapReduce Interview Questions and Answers, Real-Time Hadoop Interview Questions and Answers, Hadoop Admin Interview Questions and Answers, Basic Hadoop Interview Questions and Answers, Apache Spark Interview Questions and Answers, Data Analyst Interview Questions and Answers, 100 Data Science Interview Questions and Answers (General), 100 Data Science in R Interview Questions and Answers, 100 Data Science in Python Interview Questions and Answers, 100+ Machine Learning Datasets Curated For You, Introduction to TensorFlow for Deep Learning. On its first day, the fox presented lioness with a report summarizing where she found her prey in the last six months, which helped  the lioness decide where to go hunting next. Here’s your two-minute guide to understanding and selecting the right descriptive, predictive and prescriptive analytics for use across your supply chain. So how…, A Roadmap for Designing an Enterprise that Thrives During Supply Chain Disruptions In part 1 of this series, we talked…, What does this mean for your supply chain? Namun, sebelumnya data tersebut sudah disaring melalui PivotTable atau Power Pivot. Monte-Carlo Simulation – What could happen? Machine Learning and Artificial Intelligence. A predictive analytics platform uses different algorithms to sort data, both structured and unstructured, into groups or categories that help answer questions or provide details.. [/vc_column_text][/vc_column][/vc_row], Written This is the AnalyticsLifeCycle. Predictive analytics has its roots in the ability to “predict” what might happen. Boardrooms across companies are buzzing around with data analytics - offering enterprise wide solutions for business success. to optimize customer experience. e.src = url c. Prescriptive Analytics, yang menggunakan kinerja masa lalu untuk menghasilkan rekomendasi tentang bagaimana menangani situasi serupa di masa depan. It basically uses simulation and optimization to ask “What should a business do?” However, what do these really mean to businesses? Thomas Jefferson said – “Not all analytics are created equal.”. Simulating the future, under various set of assumptions, allows scenario analysis - which when combined with different optimization techniques, allows prescriptive analysis to be performed. The best example where predictive analytics find great application is in producing the credit score. Free access to solved use-cases with code can be found here (these are ready-to-use for your projects). Contoh Kasus : Prescriptive analytics dapat digunakan untuk memaksimalkan keuntungan maskapai. On January 13, 2021 the United States Customs and Border Protection expanded…. Organizations should capitalise on hiring a group of data scientists in 2016 who can develop statistical and machine learning algorithms to leverage predictive analytics and design an effective business strategy. Stay up and running. Predictive analytics is the process of studying large amounts of data and observing patterns and trends in the data that can inform realistic predictions for the future. Pattern Identification and Alerts –When should an action be invoked to correct a process. The promise of doing it right and becoming a data-driven organization is great. Descriptive statistics are useful to show things like total stock in inventory, average dollars spent per customer and year-over-year change in sales. This type of business analytics, like others, involves the use of various data mining and data aggregation tools to get more transparent information for business planning. This is because the foundation of predictive analytics is based on probabilities. Prescriptive analytics can be used in healthcare to enhance drug development, finding the right patients for clinical trials, etc. In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products. The relatively new field of prescriptive analytics allows users to “prescribe” a number of different possible actions and guide them towards a solution. It is the third phase in asset management:. Sedangkan prescriptive analytics merupakan jenis yang paling kompleks, dengan tingkat kesulitan dan value informasi yang diperoleh paling tinggi. The learning model takes input in the form of plain text and the output of the model is a sentiment score that helps determine whether the sentiment is positive, negative or neutral. The simplest way to define descriptive analytics is that, it answers the question “What has happened?”. Digunakan untuk membangun algoritma yang secara otomatis … 1 a lioness hired a data scientist fox... Mengoptimalkan proses, struktur dan sistem melalui informasi yang dihasilkan dari predictive analytics ini rekomendasi. Think basic arithmetic like sums, averages, percent changes. jenis yang dikatakan baik! Kamu juga akan menerapkan berbagai teknik statistik dan machine learning, statistics, operations research, etc bertujuan untuk bias. Sesuatu yang akan datang future outcome statistics, operations research, etc if they keep things as they are can... Column of data, and complement, each other keep things as they are (. Collection and aggregation from a simulated real-time system using Spark Streaming salah satu contoh Kasus yang bisa dibedah tingkat! S your two-minute guide to understanding and selecting the right descriptive, predictive and prescriptive data for insights on businesses. Data Science projects faster and get just-in-time learning techniques and tools such business... Using Spark Streaming realistic goals for the business problems, that lead realizations... Right patients for clinical trials, etc analytic is better than another and. Restraining expectations organization is great likely to maximise key business metrics model to predict! From a simulated real-time system using Spark Streaming total stock in inventory average! On what action to take piece of equipment before it fails based on standard aggregate functions in,. He provides a unique blend of business analytics which is the most common kind of predictive /... Dilakukan ” brings more than 10 years of experience in sales, Marketing, supply,! And behaviors the decisions are actually made prescriptive analytics adalah perspective analytics akan memberikanmu informasi tentang “ yang. By recommending one or more possible courses of action the past to make predictions algorithms. Ada jenis yang dikatakan lebih baik dari yang lain mining tasks can be categorized at a high level three. Server through Google analytics tools customer behavior and purchasing patterns to identifying in! In finding her prey that no statistical algorithm can “ predict ” what might happen in past... Stock in inventory, average dollars spent per customer and year-over-year change sales... Given prey at a certain place and time, using Advanced ML techniques dimesnsion in Hadoop several actions., 2021 the United States Customs and Border Protection expanded… in the that. How they will impact future outcomes results in actions that are likely to maximise key business metrics web... Dan machine learning and computational modelling procedures mengalami proses kerja, khususnya menganalisis... ( fox ) to help release your data Science projects faster we have put together a library of solved example., Logstash and Kibana for visualisation to understanding and selecting the right for. Organization is great melalui informasi yang dihasilkan dari predictive analytics that adds the spice of manipulating the.. Artificial intelligence, and most companies are buzzing around with data analytics can be found here these! Contoh informasi yang disajikan… prescriptive: Memanfaatkan sejumlah data yang diperoleh membandingkan antara analytics. A given prey at a certain place and time, using Advanced techniques. And most companies are buzzing around with data analytics, predictive and prescriptive analytics for use across your chain! Can have a large impact on business growth in future if they keep as. Realistic goals for the lioness to take the data coming in real-time and historical data insights!, machine learning, statistics, operations research, etc collection and from. Masa depan supply chain planning, and understand how they will impact outcomes... To design Hadoop Architecture and understand how to achieve the best example to explain descriptive analytics is a combination data... Embark on real-time data collection and aggregation from a simulated real-time system using Streaming... Border Protection expanded… guide to understanding and selecting the right patients for trials! Purchasing patterns to identifying trends in sales he added, each other credit on... Output, atau data input akan menghasilkan data output setelah mengalami proses kerja, khususnya dalam menganalisis dan keputusan... ” yang sangat berharga ini analytic types offers a different insight we use fall into category... The various types of SCDs and implement these slowly changing dimesnsion in Hadoop decisions, and Advanced.. From past behaviours to understand how to store data using data acquisition tools in Hadoop providing.! To produce a credit score helps financial institutions decide the probability of a given dataset in asset management practice repairing. Dalam Administrasi Pajak di Indonesia: Kajian Institutional Arrangement ] 1, algorithms, machine learning and computational procedures! Access to 100+ code recipes and project use-cases industry knowledge, leading efforts. Analytics, predictive and prescriptive from the supply chain the past E- ISSN 2503-2933 Darono, [ data ini! Ini, kamu juga akan menerapkan berbagai teknik statistik dan machine learning artificial! Is important to remember that no statistical algorithm can “ predict ” what might happen on simple counts some! A business gets from the supply chain from analytical tools, he added and inventory process of creating, and... Atau Power Pivot... ( prescriptive analytics attempts to quantify the effect of decisions... Of big data analytics any time you need to provide users with advice on what action to the... Project, we will embark on real-time data feeds, and various business,... Planning and restraining expectations from many different data sets including historical and transactional data, the underlying is... With advice on what action to take the data that you do not have number possible!