The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

Analytics as a Service Market size was valued at USD 49.52 Billion in 2024 and is projected to reach USD 429.59 Billion by 2031, growing at a CAGR of 34.2% from 2024 to 2031.

Analytics as a Service Market Drivers

Cost Efficiency: Analytics as a Service (AaaS) provides a cost-effective alternative for businesses by removing the need for pricey infrastructure and expert personnel. It offers scalable analytical tools and resources, letting businesses pay just for what they need while reducing capital expenditure.

Advanced Technologies Integration: AaaS incorporates advanced technologies like as AI, machine learning, and big data analytics, giving enterprises sophisticated capabilities to improve decision-making and operational efficiency. This integration allows businesses to stay competitive by harnessing the most recent technical breakthroughs.

Data-Driven Insights: AaaS allows businesses to efficiently access and analyze large amounts of data, resulting in meaningful insights that drive strategic choices. This solution leverages data analytics to help businesses optimize operations, boost customer satisfaction, and increase revenue.

Flexibility and Scalability: The AaaS paradigm provides flexibility and scalability to enterprises of all sizes. Companies can simply scale their analytics capabilities up or down based on their current requirements without concern for resource allocation, allowing them to respond swiftly to market changes or business development.

The online revenue of simply.es amounted to US$1.6m in 2020. Discover eCommerce insights, including sales development, shopping cart size, and many more.

This dataset is about book subjects and is filtered where the books includes Data just right : introduction to large-scale data & analytics, featuring 10 columns including authors, average publication date, book publishers, book subject, and books. The preview is ordered by number of books (descending).

The online revenue of simply-wood.co.il amounted to US$3.7m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis using authentic data of Cayo Santiago rhesus macaques. Module M.4 introduces simple linear regression analysis in R.

The big data and analytics (BDA) software market has seen an incremental increase in annual revenue worldwide from 2011 to 2019, with a slight exception in 2015. In 2019, the worldwide revenue from business analytics software amounted to 67 billion U.S. dollars.

Big data and analytics software market
The BDA software market can be broken down into three main categories: business intelligence analytic tools and platforms, analytic data management and integration platforms, and analytic and performance management applications. Simply put, the BDA software market provides business solutions in various industries through the use of analytical software tools in order to support the full life cycle of data integration, intelligence, analysis, visualization, and other related decision support systems or decision automation functions. The vendors who lead this big data and analytics software market include Microsoft, Oracle, and SAP.

Migration to the cloud
The BDA software market is continually experiencing migration to the cloud. As of 2019, the cloud services portion grew tremendously and now takes up about a quarter of the total revenue of the BDA software market. It would not be a surprise if the increase in cloud services may be contributing to the total size of the public cloud software as a service (SaaS) market that has seen an increase in recent years.

GeoPersona is an advanced analytics tool that identifies residential postal codes where people with high affinities for specific consumer activities (such as sports, dining, and entertainment) reside. It does so by analyzing people’s visitation patterns. For instance, it can reveal the post codes in London where sports enthusiasts reside by analyzing visitation patterns to sports-related locations like stadiums, playgrounds and sports retailers.

This particular data sample is for fashion enthusiasts in France, highlighting in which post codes you are most (and least) likely find audiences who frequent fashion-related stores.

This analysis of complex visitation patterns and geospatial behaviors allows GeoPersona to transform raw mobility data into actionable insights. Businesses can use this sophisticated analysis to pinpoint where potential customers reside, significantly enhancing marketing strategies, optimizing site selection and improving customer experiences.

Why is GeoPersona Important?

• Strong Indicator of Intent: A physical visit is stronger indicator of intent than simply browsing online. For example, a person who physically visits a movie theater is more likely to be interested in movies than a person who just browses for movie tickets online.

• Non-PII Data: With privacy guardrails becoming stronger with time, it will become more challenging to track online behavior at a device ID level, making aggregated insights the norm. GeoPersona does just this with postal code-level aggregation of affinities.

How does GeoPersona work?

Taking aggregated mobility data, we score each postal code against various interest segments with an Affinity Index, which is a measure of the level of interest for a given category in the specified postal code. The higher the index, the stronger the interest (or affinity) for the segment is.

The index is calculated using the following steps:

1. Use our strong Point of Interest (POI) database (70 million POIs worldwide) and separate them by category
2. Assign each GeoPersona segment to related POI categories. For example, Sports Enthusiasts would be mapped to POI categories like ‘sports_stadium’, ‘sports_shop’, etc.
3. Compute the baseline for each region/country to determine the average number of visitors at a segment level
4. Calculate the average number of visits made by residents of a given postal code to the Category
5. Compare the averages of each postal code with the regional/national baseline for the segment to obtain the Index.

Additional Information: - We provide data aggregation on a quarterly basis. - Information about our dataset, including details on our country offerings and data schema, is available here:

1. Data Schema: https://docs.echo-analytics.com/geopersona/data-schema
2. GeoPersona Methodology: https://docs.echo-analytics.com/geopersona/methodology
3. GeoPersona Segments Offered: https://docs.echo-analytics.com/geopersona/segments-taxonomy
4. Activating GeoPersona on The Trade Desk: https://docs.echo-analytics.com/geopersona/guide-activating-geopersona-on-the-trade-desk

Echo's commitment to customer service is evident in our exceptional data quality and dedicated team, providing 360° support throughout your location intelligence journey. We handle the complex tasks to deliver analysis-ready datasets to you.

Business Needs:

GeoPersona is indispensable across industries. Whether you need to target specific locations accurately, enhance targeting precision, optimize ad spend or devise a strategy for expanding your market, we provide the tools that eliminate guesswork.

• Improve Targeting Precision Upgrade your audience segmentation accuracy by unlocking real-life visitation patterns - a true indicator of purchase intent.
• Boost ROI on Ad Spend Improve CTR and conversion rates by targeting ads only to the most relevant locations and audiences, maximizing ad spend efficiency.
• Plan Your Next Ad Campaign Utilize postal code-level data to run target ads in chosen locations where your target audience is most likely to be found.
• Target Your ICP Where They Are Identify postal codes with characteristics similar to your most profitable segments, informing strategic market penetration decisions.

Dataset

This dataset was created by Akalya Subramanian

Contents

The online revenue of just-sound.de amounted to US$3.1m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

Global Workforce Analytics Market was valued at USD 1203.07 Million in 2024 and is projected to reach USD 4841.27 Million by 2031, growing at a CAGR of 19.01% during the forecast period 2024-2031.

Global Workforce Analytics Market Drivers

The increased demand for cloud-based software is expected to greatly boost the workforce analytics market. Cloud-based workforce analytics solutions have various benefits over traditional on-premises software, making them more appealing to businesses of all sizes. Cloud-based solutions provide scalability, allowing firms to simply increase their workforce analytics capabilities as their needs change, without the need for costly infrastructure expenditures or IT upkeep. This scalability is especially useful for firms with rapid growth or shifting workforce dynamics.

Cloud-based software provides greater flexibility and accessibility, allowing users to receive workforce analytics insights from any place or device with an internet connection. This flexibility is critical for businesses with spread workforces or remote employees because it enables smooth collaboration and decision-making across teams and departments. Furthermore, cloud-based workforce analytics solutions frequently offer shorter deployment times and automatic upgrades, ensuring that enterprises have access to the most recent features and functions without the need for manual intervention.

This dataset is about book series and is filtered where the books is Data just right : introduction to large-scale data & analytics. It has 10 columns such as book series, earliest publication date, latest publication date, average publication date, and number of authors. The data is ordered by earliest publication date (descending).

This dataset is about books and is filtered where the book is Data just right : introduction to large-scale data & analytics, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).