• In today's digital era, you need a data analytics solution that integrates the best of analytics and data management capabilities to quickly and easily access the data and analyze the information you need-when and where you need it. (oracle.com)
  • How can data analytics improve business decisions? (oracle.com)
  • To get started using data analytics for your business, it's recommended that organizations begin by automating some of these processes using self-service data preparation. (oracle.com)
  • Businesses can then use the self-service data preparation capability within the analytics cloud platform to not only automate the data preparation process, but to also automatically populate a secure and sharable data repository. (oracle.com)
  • From a governance perspective, a centralized data and analytics team can see what data, transformations, metrics, reports, and analyses are being used-which means they can all be tracked-including those ad-hoc datasets-within and across business functions. (oracle.com)
  • Discover the power of descriptive analytics for optimizing business data. (bizintel.net)
  • That's where descriptive analytics comes in. (bizintel.net)
  • In this article, we will explore the concept of descriptive analytics and how it can be used to maximize business data. (bizintel.net)
  • From its definition to its applications, we will cover everything you need to know about this important tool in the world of data analytics. (bizintel.net)
  • So, let's dive in and discover how descriptive analytics can revolutionize your business!Firstly, let's define what descriptive analytics is. (bizintel.net)
  • This type of analytics is often used to summarize and present data in a more understandable format. (bizintel.net)
  • Some common techniques used in descriptive analytics include data mining, data visualization, and reporting tools. (bizintel.net)
  • Now, let's discuss how descriptive analytics can benefit businesses. (bizintel.net)
  • For example, a retail store can use descriptive analytics to analyze sales data from previous years and determine which products are most popular during different seasons. (bizintel.net)
  • One of the key advantages of descriptive analytics is its ability to identify outliers and anomalies in data. (bizintel.net)
  • In conclusion, descriptive analytics is an essential tool for businesses looking to utilize their data effectively. (bizintel.net)
  • So if you're looking to unlock the full potential of your business data, descriptive analytics is definitely worth exploring. (bizintel.net)
  • Descriptive analytics is the process of analyzing data to gain insights and understanding about past events or trends. (bizintel.net)
  • There are several key techniques used in descriptive analytics, including data aggregation, data mining, and data visualization. (bizintel.net)
  • In the age of data-driven decision-making, data science and data analytics have become a critical discipline for organizations looking to gain valuable insights from their data. (eskwelabs.com)
  • Within data analytics, descriptive analysis techniques are crucial for uncovering patterns, identifying outliers, and developing a comprehensive understanding of the data. (eskwelabs.com)
  • Benchmarking in data science and data analytics can take various forms. (eskwelabs.com)
  • However, predictive and prescriptive analytics aren't the only applications of big data for HR. In fact, there are four analytics practices HR professionals can adopt, including descriptive, diagnostic, predictive, and prescriptive analytics. (business2community.com)
  • Descriptive analytics: What is happening? (business2community.com)
  • Whether you have an in-house data team or zero employees dedicated to analytics, your HR team can reap insights from data by starting small and evolving as your data skills grow. (business2community.com)
  • Descriptive analytics is your foundation. (business2community.com)
  • You can always add to your descriptive analytics efforts later on. (business2community.com)
  • Diagnostic analytics provides context to the information gathered by descriptive analytics, suggesting not just what is happening, but why specific trends are being seen. (business2community.com)
  • Diagnostic analytics isn't something you extrapolate after gathering your descriptive data. (business2community.com)
  • Part 1 of this two-part report provides background information and descriptive data, including organizational characteristics, NPD department structures, and NPD practitioner ratios per employee, per RN, and per hospital bed. (nursingcenter.com)
  • Here we describe the magnitude and distribution of dengue in mainland China based on the notifiable reporting data, focusing on seasonal and geographical patterns from 1990 to 2014, and characteristics of imported and indigenous cases from 2005 to 2014, so as to identify high-risk areas and seasons and thereby help plan resource allocation for dengue prevention and control. (biomedcentral.com)
  • Standard mapping techniques will produce informative visualizations and provide orientation for studying the location, the physical attributes of the investigation area, and descriptive characteristics of the population(s) of interest. (cdc.gov)
  • Descriptive statistics are used to describe the characteristics of datasets. (skillsoft.com)
  • They are leveraged by data analysts to find answers or characteristics of data that aren't immediately or directly answered by analyzing the data alone. (skillsoft.com)
  • In other words, descriptive statistics are used to summarize characteristics of data that are not actually contained or explicitly described by the data. (skillsoft.com)
  • It involves summarizing and interpreting data to gain insights into its characteristics, distributions, and relationships. (eskwelabs.com)
  • For instance, descriptive analysis can be used to explore the characteristics of benchmark datasets, identify key variables, and gain an understanding of the data landscape before starting a data science project. (eskwelabs.com)
  • Information is presented on the content of each file, source of the data, technical characteristics of the file, documentation, ordering instructions, and other information to aid the user in identifying and acquiring NCHS data tapes. (cdc.gov)
  • Descriptive statistics were calculated to identify fatality characteristics. (cdc.gov)
  • Use Descriptives to study customer spending to determine which services are most profitable. (ibm.com)
  • This data set includes the description of the survey protocol used in the study DIGITAL SCIENCE: SUSTAINABLE, TRANSFORMATIVE AND TRANSVERSAL. (mendeley.com)
  • The file also includes the survey protocol (questions) and the main results of the study (descriptive statistics). (mendeley.com)
  • This report includes key information on the Head Start Family and Child Experiences Survey 2014 (FACES 2014) study design and a set of data tables that presents descriptive statistics on the demographic backgrounds and developmental outcomes of children enrolled in Head Start in fall 2014. (researchconnections.org)
  • This descriptive study, comprising 2321 high school students, was conducted in Izmir, Turkey, between May and August 2015. (who.int)
  • The aim of this descriptive qualitative study was to explore the perspectives of clinicians who provide care to older trauma patients in rural settings. (biomedcentral.com)
  • Kotozaki, Y. (2020) An Exploratory Descriptive Study: Emotional Extraction of Postpartum Women who Engaged in Horticulture Activities by Text Mining. (scirp.org)
  • Depending on the study area's location (i.e., domestic vs. international), different levels of data might be available. (cdc.gov)
  • By processing the publicly available disclosure data, our self-study model may effectively assist in predicting IEQAS outcomes, and it can also be used as a diagnostic, prior to accreditation, by local HEIs in other nations to check their preparedness and likelihood of success within similar contexts. (springer.com)
  • The analyzed data comes from an open effectiveness study including 575 patients receiving guided Internet-delivered therapy for panic disorder or social anxiety disorder. (frontiersin.org)
  • This study provides descriptive epidemiological data, such as the percentage of cases diagnosed, crude incidence rate (CIR), and age-standardized incidence rate (ASIR) of ovarian cancer in Saudi Arabia from 2001-2008. (lincoln.ac.uk)
  • Frequency of missing data in clinical records in pediatric dentistry: a descriptive study. (bvsalud.org)
  • The aim of the present study was to investigate the frequency of missing data on routine dental care appointments and restorative procedures from the clinical records of children treated at a pediatric dental clinic . (bvsalud.org)
  • A descriptive retrospective study was conducted involving the clinical records of children three to 12 years of age treated only with restorations. (bvsalud.org)
  • The study further investigates if a distinction between "gender" and "sex" in the Arabic data is made. (lu.se)
  • The reviewers also changed of the genital organs, healthy sexual Data collection the problematic items according to the behaviours to prevent sexually trans- A 2-part questionnaire was designed results of the pilot test and modified the mitted infections (STI) and access to for the study. (who.int)
  • Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics are generally also presented. (wikipedia.org)
  • These summaries may either form the basis of the initial description of the data as part of a more extensive statistical analysis, or they may be sufficient in and of themselves for a particular investigation. (wikipedia.org)
  • More recently, a collection of summarisation techniques has been formulated under the heading of exploratory data analysis: an example of such a technique is the box plot. (wikipedia.org)
  • Univariate analysis involves describing the distribution of a single variable, including its central tendency (including the mean, median, and mode) and dispersion (including the range and quartiles of the data-set, and measures of spread such as the variance and standard deviation). (wikipedia.org)
  • In this case, descriptive statistics include: Cross-tabulations and contingency tables Graphical representation via scatterplots Quantitative measures of dependence Descriptions of conditional distributions The main reason for differentiating univariate and bivariate analysis is that bivariate analysis is not only a simple descriptive analysis, but also it describes the relationship between two different variables. (wikipedia.org)
  • Text mining was used as data analysis, and the analysis software used KH Coder 3 (https://khcoder.net/dl3.html). (scirp.org)
  • and (iii) while leveraging the disclosed data turned out to be reliable, neural network's predictive accuracy was higher than those reported using logistic regression and discriminant analysis. (springer.com)
  • If there were, data or business analysts could do rapid, self-service data visualization , and analysis. (oracle.com)
  • And again, the data is often scattered, which means staff must first manually gather the data before they can even start their analysis. (oracle.com)
  • Before conducting any analysis however, the data must be merged, most likely by trying to use a spreadsheet like a database, and then building metrics or analyses from that. (oracle.com)
  • This data gathering process is much more difficult and time consuming than the actual data analysis. (oracle.com)
  • This powerful data analysis method allows businesses to gain valuable insights from their data, helping them make informed decisions and drive growth. (bizintel.net)
  • Within this field, two essential techniques- descriptive analysis and benchmarking -play a significant role in uncovering patterns, providing context, and guiding decision-making processes. (eskwelabs.com)
  • In this article, we will explore the synergistic relationship between descriptive analysis, benchmarking, and data science, and highlight their potential in driving meaningful outcomes. (eskwelabs.com)
  • Descriptive analysis stems from descriptive statistics, and it forms the foundation of data exploration and understanding. (eskwelabs.com)
  • Basically, from the term itself we use descriptive analysis to describe the data. (eskwelabs.com)
  • While descriptive analysis and benchmarking are powerful individually, their true potential is realized when combined in the field of data science. (eskwelabs.com)
  • Descriptive analysis provides the necessary tools to understand the data, while benchmarking offers a means to measure and compare performance against established standards. (eskwelabs.com)
  • Real-world examples demonstrate how descriptive analysis and benchmarking have transformed data-driven insights across various industries. (eskwelabs.com)
  • In healthcare, descriptive analysis of patient data combined with benchmarking against industry standards has led to improved diagnosis and treatment plans. (eskwelabs.com)
  • Before you run the clustering analysis, you should remove the Store variable from the data set because this is just a variable that identifies each observation and should not be used in the clustering. (qnaassignmenthelp.com)
  • A retrospective descriptive epidemiological analysis of all ovarian cancer cases recorded in the Saudi Cancer Registry (SCR) from January 2001-December 2008 was performed. (lincoln.ac.uk)
  • The data were analyzed using descriptive statistics, analysis of variance tests, Poisson regression, and simple linear modeling. (lincoln.ac.uk)
  • The frequency of missing data on clinical records was submitted to descriptive analysis . (bvsalud.org)
  • Results: Two-hundred thirty-two patient encounters were reviewed, with 177 included in data analysis. (cdc.gov)
  • Auteur correspondant software enabled data analysis and processing. (who.int)
  • The researchers used descriptive statistics for continuous and nominal variables (percentage and frequencies) to report survey data and Fisher exact or chi-square analysis of categorical variables to obtain P values. (medscape.com)
  • Compute descriptive statistics for discrete data sets. (ne.jp)
  • Report descriptive statistics. (stata.com)
  • With dtable , creating a table of descriptive statistics can be as easy as specifying the variables you want in your table. (stata.com)
  • In the examples below, we discuss how to create, modify, and export tables of descriptive statistics. (stata.com)
  • A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information, while descriptive statistics (in the mass noun sense) is the process of using and analysing those statistics. (wikipedia.org)
  • Descriptive statistics is distinguished from inferential statistics (or inductive statistics) by its aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent. (wikipedia.org)
  • This generally means that descriptive statistics, unlike inferential statistics, is not developed on the basis of probability theory, and are frequently nonparametric statistics. (wikipedia.org)
  • Descriptive statistics provide simple summaries about the sample and about the observations that have been made. (wikipedia.org)
  • The use of descriptive and summary statistics has an extensive history and, indeed, the simple tabulation of populations and of economic data was the first way the topic of statistics appeared. (wikipedia.org)
  • In the business world, descriptive statistics provides a useful summary of many types of data. (wikipedia.org)
  • When a sample consists of more than one variable, descriptive statistics may be used to describe the relationship between pairs of variables. (wikipedia.org)
  • In this course, you will explore descriptive statistical methods, beginning with the purpose and role of descriptive statistics. (skillsoft.com)
  • Guidelines on use The National Center for Health Statistics requests that recipients of data files cooperate in certain actions related to their use. (cdc.gov)
  • Descriptive statistics were used. (cdc.gov)
  • And it has more predictive modeling techniques than any other commercial data mining package. (sas.com)
  • Descriptive and predictive modeling provide insights that drive better decision making. (sas.com)
  • SAS Rapid Predictive Modeler automatically steps nontechnical users through a workflow of data mining tasks. (sas.com)
  • Based on data provided by a warehouse logistics management company, we analyze the warehousing operation and its major processes of order picking and order consolidation. (uwaterloo.ca)
  • Without access to the actual layouts and process flow diagrams, we analyze the data to describe the processes in detail, and prescribe changes to improve the operation. (uwaterloo.ca)
  • The multiple measure query and display functionality provides an exciting capability to the Tracking Network and increases a user's ability to freely explore and analyze data on the Network. (cdc.gov)
  • Methods: Data on fatal work-related injuries in Alaska during 2004 to 2018 were obtained from the Alaska Occupational Injury Surveillance System. (cdc.gov)
  • The subjects of this course are basic statistic methods with focus on geographical data. (lu.se)
  • The course starts with an introduction to normal statistical methods used in geography, covering descriptive stats, correlation and hypothesis testing. (lu.se)
  • We describe the incidence and distribution of dengue in mainland China using notifiable surveillance data from 1990-2014, which includes classification of imported and indigenous cases from 2005-2014. (biomedcentral.com)
  • Some measures that are commonly used to describe a data set are measures of central tendency and measures of variability or dispersion. (wikipedia.org)
  • However, previous research has not adequately explored how existing clinical data may improve our understanding of the spatial epidemiology of firearm injuries in Philadelphia. (jefferson.edu)
  • By using techniques such as data mining, data visualization, and reporting tools, businesses can gain valuable insights and make informed decisions for growth and success. (bizintel.net)
  • Together, these techniques enable organizations to gain comprehensive insights, drive informed decision-making, and optimize their data science processes. (eskwelabs.com)
  • Reveal valuable insights with powerful data mining software. (sas.com)
  • For example, the shooting percentage in basketball is a descriptive statistic that summarizes the performance of a player or a team. (wikipedia.org)
  • Data aggregation involves combining multiple data points into a single summary statistic, such as calculating average sales for a specific time period. (bizintel.net)
  • We used a questionnaire to collect data on sociodemographic information and the perceptions that adolescents have of violence. (who.int)
  • For example, incorporating such sociodemographic characteristic data as population counts, age, sex, race/ethnicity, sensitive populations, language/translation needs, and measures of poverty by specific state, county, or other census boundaries is possible by using US Census data ( Figure 17.2 ). (cdc.gov)
  • Marien Ngouabi University sociodemographic data and data on illness perception were collected from medical records and during individual interviews using pre-established survey forms. (who.int)
  • also plays a crucial role in data-driven decision-making. (bizintel.net)
  • In 2013, it was emphasized that research and data for health are crucial in health systems strengthening.1 However, health data and research evidence are of limited value unless they are used for accountability and decision-making. (who.int)
  • The majority of the data files released by NCHS contain microdata to allow researchers to aggregate findings in whatever format appropriate for their analyses. (cdc.gov)
  • It should also include a disclaimer that credits any analyses, interpretations, or conclusions reached by the author (recipient of the file) and not to the Center, which is responsible only for the initial data. (cdc.gov)
  • The percentage of missing data from clinical records was substantial, demonstrating that important information is not recorded during routine dental care or restorative procedures . (bvsalud.org)
  • First, the team extrapolated from the data available to them to determine what the likely outcomes would be if different variables were changed (in this case, the amount and method of investment). (business2community.com)
  • Timely and accurate mental and behavioral health surveillance data, that includes specific information on children, could inform intervention efforts to improve developmental outcomes for children in the longer-term aftermath of disasters. (cdc.gov)
  • Because standard deviation is in the same units as the original data set, it is often used to provide context for the mean of the dataset. (codecademy.com)
  • Data mining is the process of discovering patterns and relationships within a dataset, while data visualization uses charts, graphs, and other visual tools to present data in a more easily understandable format. (bizintel.net)
  • These techniques empower data scientists to comprehend the underlying structure of the data, identify anomalies, and make data-driven decisions based on a thorough understanding of the dataset. (eskwelabs.com)
  • Datasets and data that are commonly used can be incorporated into a departmental or enterprise data warehouse and metrics, as well as standard dashboards and reports. (oracle.com)
  • In the realm of data science, benchmarking involves comparing an organization's performance, processes, or practices against established standards or industry leaders. (eskwelabs.com)
  • Additionally, benchmarking can be applied to operational processes such as data preprocessing, feature engineering, or model evaluation, to identify inefficiencies and streamline workflows. (eskwelabs.com)
  • Gain superior analytical depth with a suite of statistical, data mining and machine-learning algorithms. (sas.com)
  • Similarly, investigators can use road network data to develop optimized routes for data collection. (cdc.gov)
  • Data collection was performed by a trained examiner who extracted information from the clinical records on appointments for routine dental care and restorative procedures . (bvsalud.org)
  • More than 500 public-use data files, representing most of the NCHS data collection programs, are available for purchase and use. (cdc.gov)
  • and other periodic or occasional data collection activities to produce a wide spectrum of health and health- related data. (cdc.gov)
  • Il existe une perception erronée de l'insuffisance rénale chronique chez les patients en stade terminal de leur maladie rénale dû à la faible connaissance du grand public sur les maladies rénales. (who.int)
  • Data visualization, on the other hand, uses charts, graphs, and other visual aids to present complex data in a more digestible format. (bizintel.net)
  • It is the process of analyzing historical data to understand past trends, patterns, and behaviors. (bizintel.net)
  • Data mining involves sifting through large amounts of data to identify patterns and relationships. (bizintel.net)
  • By analyzing historical data, businesses can identify patterns and trends that can help them make better decisions in the future. (bizintel.net)
  • Battlestar Wiki uses descriptive terms to give names to technologies and other subjects which haven't been given a canonical name (that is, a name assigned officially through aired content from either the Re-imagined Series or Original Series ). (battlestarwiki.org)
  • Spiders can read and index the Meta data and surrounding text and correlate it with the video content. (bruceclay.com)
  • After selecting type of content, geographic level, and time periods of interest, the Data Explorer returns the results in an interactive map, chart, and table. (cdc.gov)
  • A user selects data in Tracking's Data Explorer by choosing type of content, geographic level, and time periods of interest. (cdc.gov)
  • With an autonomous solution , data-aware business analysts can spin up a secure and sharable data repository within minutes in just a few, simple steps. (oracle.com)
  • In today's fast-paced business world, data is king. (bizintel.net)
  • NCHS data users encompass all levels of government, the academic and research communities, and business. (cdc.gov)
  • The measures taken to protect confidential information include the following: -Personal names and addresses, except for those on some nonconfidential institutional records, never appear on the data tapes. (cdc.gov)
  • Users are urged to include appropriate sampling error statements in all data they publish. (cdc.gov)
  • Citations are generated automatically from bibliographic data as a convenience, and may not be complete or accurate. (loc.gov)
  • An interactive, self-documenting process flow diagram environment efficiently maps the entire data mining process to produce the best results. (sas.com)
  • By incorporating SAS Viya models into their process flows, data scientists can compare or combine SAS Viya models and other SAS models, enabling them to use the full power of SAS to achieve innovative results faster. (sas.com)
  • Need help with SCMG 614 Descriptive Data Mining Assignment? (qnaassignmenthelp.com)
  • Streamline the data mining process to develop models quickly. (sas.com)
  • An easy-to-use GUI steps them through a workflow of data mining tasks. (sas.com)
  • Boost performance with the included high-performance data mining nodes. (sas.com)
  • It also contains information regarding how the survey was administered and how the data was gathered. (mendeley.com)
  • Data are drawn from the Head Start Family and Child Experiences Survey (FACES 2014). (researchconnections.org)
  • In Turkey, 38% of women are exposed to violence during their lifetime according to data from the 2015 National Violence against Women Survey (9). (who.int)
  • A non-experimental, quantitative, descriptive survey of low-risk mothers was conducted in two state hospitals by using the Childbirth Experience Questionnaire (CEQ). (scielo.org.za)
  • Based on the theory of planned behavior, this paper used the survey data of farmers in collective forest areas in three southern provinces of China to reveal the psychological decision-making process of farmers entering the forestry property market by structural equation model (SEM). (frontiersin.org)
  • How to use this catalog The catalog is organized by NCHS data system or survey. (cdc.gov)
  • Place keywords in the Meta data, the descriptive text. (bruceclay.com)
  • Descriptive text from MedlinePlus Genetics is included when available. (medlineplus.gov)
  • IBL visualizations quickly communicate key data points with short passages of descriptive text. (cdc.gov)
  • This catalog lists and describes the public-use data files produced by NCHS. (cdc.gov)
  • Using geographic information science, systems, or software (collectively known as GIS), boundaries can be drawn for the area of interest and from which specific GIS data files, known as shapefiles , can be created (2,4,5). (cdc.gov)
  • Data from NCHS are made available to the public in a number of individual reports and publication series, special tabulations, data releases, and through electronic media including data diskettes and an extensive set of public-use data files. (cdc.gov)
  • Public use data public files are prepared and disseminated to speed and enhance access to the full scope of data. (cdc.gov)
  • NCHS releases public-use data files for elementary units (persons, events, or health facilities, and services) in a manner that will not in any way compromise the confidentiality guaranteed the respondents who supplied the original data. (cdc.gov)
  • In addition, all purchasers of NCHS data files are required to sign a data use and purchase agreement (included on the NTIS order form) to assure that the NCHS public-use data files will be used solely for statistical research or reporting purposes. (cdc.gov)
  • For other data available from MedlinePlus, please see MedlinePlus XML Files and MedlinePlus Web Service . (medlineplus.gov)
  • With the simple click of the "play" button located in the top left corner of the map (or chart), the Data Explorer will cycle though each of the selected years and show a living map of environmental health data. (cdc.gov)
  • The split screen view of Tracking's Data Explorer shows maps of two different data types at the same time, making visual comparison very simple. (cdc.gov)
  • The ability to derive certain metrics or key performance indicators (KPIs) from data can be difficult. (oracle.com)
  • Reporting tools allow businesses to create customized reports that highlight important data points and provide a clear overview of their performance. (bizintel.net)
  • A larger variance means the data is more spread out and values tend to be far away from the mean. (codecademy.com)
  • It is calculated by taking the square root of the variance of a data set. (codecademy.com)
  • Perform data transformation and exploration, and train and score supervised and unsupervised models in R. (sas.com)
  • Descriptive Geometry and Spatial Ability-Correlation and Mutual Impact at Engineering Students', Tehnički vjesnik , 27(6), str. (srce.hr)
  • Ilić* M, Kosić-Jeremić S, Stavrić M. Descriptive Geometry and Spatial Ability-Correlation and Mutual Impact at Engineering Students. (srce.hr)
  • Given that this kind of competence is not paid enough attention to in the early stages of education, students arriving at technical faculties have difficulties in mastering the subject of Descriptive geometry and solving spatial problems in general. (srce.hr)
  • In this paper, the relation between spatial abilities and the subject of Descriptive geometry at the University of Banja Luka will be examined. (srce.hr)
  • By leveraging benchmarking techniques, organizations can identify best practices, set ambitious goals, and continuously improve their data science capabilities. (eskwelabs.com)
  • Under these circumstances, the team should consider collecting pertinent data after arriving at the location. (cdc.gov)
  • The file Trader Joes contains data on the location of each of Trader Joe's retail stores. (qnaassignmenthelp.com)
  • While the Data Explorer is powerful and comprehensive, some users prefer to be given what is important about their location rather than search for it themselves. (cdc.gov)
  • Data from localities having less than 100,000 population are classified into geographic areas that reflect population size but do not reveal specific geographic names. (cdc.gov)
  • Time permitting, the field team might consider gathering pertinent data sets useful beyond general reference data. (cdc.gov)
  • When faced with the challenge of adding 250 people to its 600-person team in a year's time, Opower-a customer engagement platform for utility companies that's since become a subsidiary of Oracle- knew it needed data on its side . (business2community.com)
  • Not only did Opower decrease its average time-to-fill from 93 days to 67 days through data-driven decision-making, it met its recruitment goal with a total of 237 new hires . (business2community.com)
  • Dramatically shorten model development time for your data miners and statisticians. (sas.com)
  • A sample of the shopping cart data resides in the Apple Cart Binary file provided. (qnaassignmenthelp.com)