Data Quality Co-op, shared an update Posted8 days AGO Data Quality Co-op (DQC) hires Venu Bendapudi and Katie Casavant to drive growth and innovations New leadership roles will enhance expansion efforts, accelerating DQC’s mission to revolutionize data quality in the insights industry SALT LAKE CITY, UT - January 2024 - Data Quality Co-op (DQC), the insights industry’s first independent clearinghouse for data quality measurement, has hired Venu ... Read More Data Quality Co-op (DQC) hires Venu Bendapudi and Katie Casavant to drive growth and innovations New leadership roles will enhance expansion efforts, accelerating DQC’s mission to revolutionize data quality in the insights industry SALT LAKE CITY, UT - January 2024 - Data Quality Co-op (DQC), the insights industry’s first independent clearinghouse for data quality measurement, has hired Venu Bendapudi as Head of Sales, Market Research, and Katie Casavant as Head of Commercial. Bendapudi will spearhead sales strategies, develop key business plans, drive expansion efforts, and cultivate relationships with market research firms, while Casavant will lead commercial strategy, oversee go-to-market planning, and manage business development and customer relationships. Both positions will contribute to the growth and implementation of the company's innovative platform, built to continuously assess, analyze, and validate the quality of first-party data in real time for the insights industry. “Venu and Katie bring invaluable expertise and leadership to our team, and I am confident that their contributions will accelerate DQC’s growth and further our mission to revolutionize data quality measurement in the insights industry,” said Bob Fawson, CEO and Founder of Data Quality Co-Op. “Their combined experience will play a key role in ensuring our platform continues to drive real-time data quality assurance and deliver exceptional value to our clients.” About Venu Bendapudi, Head of Sales - Market Research Bendapudi brings more than twenty years' experience of the MR industry to Data Quality Co-Op, including sales across business and consumer research in verticals including healthcare, media, retail, finance and IT. He began his Market Research operations career in India, leading a team of survey programmers and report analysts, then quickly moved to work in sales. He has worked mostly in the United States but has also worked in Asia Pacific and Middle East markets, while based in Kuala Lumpur and Dubai. https://www.linkedin.com/in/venubendapudi/ About Katie Casavant, Head of Commercial Casavant is a serial entrepreneur with a passion for building data, analytics and insights businesses to create incremental value and drive transformative growth. She began her career in behavioral data analytics, founded Cannondale Associates’ retail consulting practice in 2004, Kantar Shopcom in 2011 and Kantar Activate in 2017. She led the commercial transformation of 0ptimus Analytics facilitating its successful exit and acquisition by Dynata in 2021. Casavant led Dynata’s global Consulting and Investing channel until 2024. She is also a passionate culinarian with a deep appreciation for how quality ingredients and the care taken in their preparation can transform something simple into something extraordinary. https://www.linkedin.com/in/katiecasavant/ The addition of these roles adds extensive experience, offering deep expertise in data quality, technological advancements, and industry evolution. Since its launch earlier this year, DQC has partnered with early adopters to develop a platform dedicated to enhancing data quality within the industry. For those interested in shaping the future of data quality through this cutting-edge solution, DQC invites inquiries via email at contact@dataqualityco-op.com. About Data Quality Co-Op Data Quality Co-op (DQC) is an independent first-party data quality clearinghouse. We transform how buyers and suppliers of first-party data measure, understand and manage the quality of their data. Our platform offers continuous quality measurement and real-time quality certification by aggregating, analyzing, and benchmarking data quality signals. Together with our clients, we are shaping the future of fast, reliable data-driven insights. Headquartered in Salt Lake City, Utah, our mission is to ensure each business decision, marketing campaign or AI model is driven by data that’s high-quality, high-value and perfectly suited for its purpose. For more information, visit www.dataqualityco-op.com. Venu Bendapudi Katie Casavant Read Less
Decision Analyst, Inc., shared an update Posted13 days AGO Maximize Your Home-Usage-Testing Success: 4 Expert Tips by: Lesley Johnson, CAPM Imagine you’ve found yourself sitting at the conference room table with your strategic-planning team, reviewing your upcoming quarterly plan. The planning-process goal is to uncover additional revenue streams. The completed exploration and ideation research points to product development. Enter product testing. Product... Read More Maximize Your Home-Usage-Testing Success: 4 Expert Tips by: Lesley Johnson, CAPM Imagine you’ve found yourself sitting at the conference room table with your strategic-planning team, reviewing your upcoming quarterly plan. The planning-process goal is to uncover additional revenue streams. The completed exploration and ideation research points to product development. Enter product testing. Product testing is critical to the launch of new products. The wrong flavor profile, bad efficacy, difficult-to-follow user instructions, problematic packaging, or myriad other problems can dampen the long-term success of a product. With product testing, questions and challenges can be addressed through qualitative means, such as focus groups, or by quantitative means through a home-use test with participant feedback captured via an online survey. While focus groups or taste tests can be quite useful in addressing a number of questions on the path to product launch, I’d like to focus on home-use tests and discuss four considerations to help ensure a successful quantitative home-use test. Capture in-the-moment reactions to the product: Participants’ memories can be vague, so to ensure accuracy in your results, providing a paper diary (or even digital or event video) can be very helpful. A diary provides a way for participants to capture their reactions as they use the product. Then they can reference the diary when a survey email link is sent to formally capture their responses (or in the case of a video diary they can upload the video). Because diaries are used as a reference for inputting responses into the online survey, it is critical that the diaries align nearly identically with the flow and wording of the online survey. Rotate products in a paired-comparison test: To avoid order bias, it’s good practice to split your sample into two cells and have each cell start with a different product. This methodology requires a little extra design planning to ensure that accidental swapping of products is addressed, which can be accomplished through variable-programming design in your survey logic. Plan the timeline: Home-use tests require a few extra steps in the timeline that may be overlooked and which can impact the final deadline. Ensure you allow for product labeling and packaging time, include a testing window that covers the full range of delivery dates through the post office (and base your data-collection end date on the latest-arriving packages), and allow extra time to develop and align the diaries. Consider the tester and his/her environment: Is one child (or even one pet) out of several in a home doing the testing? Can others in the household try or use the test product? In either case, it might be helpful to label the products with the tester’s name and add their name to the diary to help prevent confusion. Also, provide specific instruction about who can use the product. These considerations will help your research and launch teams prepare the research journey. The successful home-usage test brings confidence in the product launch; it can even result in valuable insights on tweaks to be made before launch. Your executive team won’t be sitting around the conference room table and wondering what consumers will think about your product— they’ll be talking about its successful launch! Author Lesley Johnson, CAPM Senior Project Director Lesley has built solid research experience in industries as diverse as consumer-packaged goods, durable goods, internet-based business, healthcare/medical devices, and nonprofit/governmental departments/organizations. Her efficiency, attention to detail, and broad knowledge of research ensure each of her projects has the highest level of accuracy and insight. Lesley earned a Bachelor’s from the University of Texas at Arlington and is a Certified Associate Project Manager through the Project Management Institute. https://www.decisionanalyst.com/blog/maximize-your-hut-success/ www.decisionanalyst.comMaximize Your Home-Usage-Testing Success: 4 Expert TipsProduct testing is critical to the launch of new products. With product testing, questions and challenges can be addressed through qualitative means, such as focus groups, or by quantitative means through a home-use test, with participant feedback captured via an online survey. Read Less
Decision Analyst, Inc., shared an update Posted13 days AGO How Many Segments Are Optimal? by: Elizabeth Horn, Ph.D. When deciding upon a segmentation solution, companies often wonder how many groups they should have. Perhaps 3, 5, or 8, or maybe even 10, 15, or 20? There’s not a magical number, I’m sorry to say. The optimal number of segments depends on several factors, such as how the segmentation will be used, the organization’s experience with segmentation,... Read More How Many Segments Are Optimal? by: Elizabeth Horn, Ph.D. When deciding upon a segmentation solution, companies often wonder how many groups they should have. Perhaps 3, 5, or 8, or maybe even 10, 15, or 20? There’s not a magical number, I’m sorry to say. The optimal number of segments depends on several factors, such as how the segmentation will be used, the organization’s experience with segmentation, and statistics. Activation plays a large role in determining the number of segments. Companies that advertise to segments using mass media, for example, lean toward fewer segments because developing many different creatives is expensive. Companies that use direct mail or email marketing may require many, many, many segments. I know of companies that use 50+ segments arranged as macro and micro segments because it is relatively inexpensive and easy to market to all of them. Service-oriented industries, such as hospitality and foodservice, tend toward many segments as well. Not only do they have to account for the consumer, but they must account for the time of day and the usage occasion. Experience also impacts the final number of segments. Stakeholders who have previously worked with segmentations often have entrenched opinions about the best number of segments. I have observed over the years that a stakeholder’s belief in the uniqueness of their products and the variety of human attitudes and behaviors within the category influences the desired number of segments. The more stakeholders perceive that their product category is complex, the more segments they think they need to describe category purchasers. And there are organizations that shy away from many segments because they hold the erroneous belief that they must cater to all of them. Not so! Segmentation helps companies understand the different constituents in their category and identify the groups that are worth pursuing with limited company resources. In other words, all segments are not created equal. It makes business sense to concentrate marketing and new product development efforts on those few segments that are more valuable. This means that a solution can contain many segments, but the organization only needs to pay more attention to a few of them. Analytical tools consider the “fit of the data to the segmentation model” to identify the number of segments. There are statistical procedures available that will run many different clustering models and literally point the analyst to the best number of segments. These tools can be useful when assembling a short list of potential segmentation solutions. Companies want the solution they adopt to be their choice. So, providing a small set of statistically sound options is ideal. Using statistics as the only criterion to determine the number of segments is not advisable, though. This can result in an overly precise set of segments that are not really meaningfully different. Good segmentation solutions have face validity (make sense), are easy to explain, contain segments that are reachable, and have clearly defined targets. These optimal solutions can have any number of segments. One caveat is that each segment requires a readable base size—we recommend having at least 100 consumers/decision-makers in each segment. This prevents key business decisions being made based on segments that are too small. From a short list of good segmentation solutions, select a final solution that contains highly differentiated groups. A solution is well-differentiated when stakeholders can easily think of a customer that typifies each segment. The optimal number of segments should be an outcome of a well-differentiated segmentation solution rather than a driver of the solution chosen. It is challenging to convince stakeholders who have a preconceived notion about the number of segments that a solution can be optimal with many fewer (or even many more) customer groups. Uncovering expectations regarding the number of segments prior to beginning the process is key. Knowing that a company requires many segments, for example, will inform quantitative survey sample sizes and analysis approaches. Even then, stakeholders and their research partners should keep an open mind about the optimal number of segments and allow the characteristics of a good segmentation to be the determinants of the solution adopted. Author Elizabeth Horn Senior VP, Advanced Analytics Beth has provided expertise and high-end analytics for Decision Analyst for over 25 years. She is responsible for design, analyses, and insights derived from discrete choice models; MaxDiff analysis; volumetric forecasting; predictive modeling; GIS analysis; and market segmentation. She regularly consults with clients regarding best practices in research methodology. Beth earned a Ph.D. and a Master of Science in Experimental Psychology with emphasis on psychological principles, research methods, and statistics from Texas Christian University in Fort Worth, TX. https://www.decisionanalyst.com/blog/how-many-segments-are-optimal/ www.decisionanalyst.comHow Many Segments Are Optimal?When deciding upon a segmentation solution, companies often wonder how many groups they should have. Perhaps 3, 5, or 8, or maybe even 10, 15, or 20? Read Less
IQS Research, shared an update PostedMonday, December 2, 2024 at 11:33 AM IQS Research recently obtained our designation as a Canopy KY certified company. Canopy commitment is described as: "Canopy Certified Companies are committed to operating with the best interest of Kentucky and its people in mind. As they grow profit, they work to solve our social, economic, and environmental problems." We are pleased to receive this recognition and continue our commitment to using... Read More IQS Research recently obtained our designation as a Canopy KY certified company. Canopy commitment is described as: "Canopy Certified Companies are committed to operating with the best interest of Kentucky and its people in mind. As they grow profit, they work to solve our social, economic, and environmental problems." We are pleased to receive this recognition and continue our commitment to using research as a tool for community and organizational change. Read Less
Quester, posted a resource PostedTuesday, November 5, 2024 at 10:31 AM How to Uncover Valuable Consumer Insights – with Brett Townsend and Tim Hoskins https://youtu.be/6GQudFXggs4?si=aJeoVdkpMF6lQmuQ In this episode of Masters of Marketing, we talk consumer insights with Brett Townsend and Tim Hoskins from Quester, a brand and innovation strategy and insights consultancy. ... Read more
SJ Panel, SJ Panel, shared an update PostedMonday, September 30, 2024 at 9:25 AM SJ Panel: The trusted and unique platform that pays you for taking up surveys Whenever people learn that you can get paid for taking surveys, they call it names such as fake, fraud, and so on. Well, at times, it can be true because recently, there has been a surge in the number of fake platforms that are accused of cheating money on you. So, if you want to earn money by taking surveys, the one thing... Read More SJ Panel: The trusted and unique platform that pays you for taking up surveys Whenever people learn that you can get paid for taking surveys, they call it names such as fake, fraud, and so on. Well, at times, it can be true because recently, there has been a surge in the number of fake platforms that are accused of cheating money on you. So, if you want to earn money by taking surveys, the one thing that you will have to do is choose the platform wisely that can provide you with the best surveys for money. This is where we will let you know about the SJ Panel. SJ Panel is one of the best platforms from where you can earn a few extra bucks with the help of online surveys. It is not a job of hardship that will make you tired but is something that will undoubtedly help you to make a few extra bucks just by sitting at your home. Moreover, there are tons of benefits to using SJ Panel. Come; let us explore some of these benefits with use so that you can get to know what the fuss about SJ Panel is all about. Benefits of using SJ Panel, the legit money earning survey platform Businesses can never be functional without the help of reviews and feedback. Without taking up reviews and working on them, businesses will not be able to take up their flight. And these are the opinions that you will put forward through the SJ Panel. However, in case you are wondering, if it is real or not, then let us put forward some reasons showing how real they are. Benefit # 1: Legitimacy. You will need to know about the landscape of the platform before you claim whether the platform is legit or not. Thus, when it comes to the SJ Panel, all you will have to do is check out their background. Surely you will be impressed with it. SJ Panel always prioritizes surveys so that it can pay you real money. They are committed to delivering you the right understanding of easy money that is earned in comfort. Benefit # 2: Better than others. SJ Panel knows how to nurture a customer and seller relationship. Providing security is the top-notch priority of the SJ Panel. They differentiate themselves by providing fair compensation for all the participants. However, one of the most unique things about them is that they ensure that users are well-informed about the monetary value of each survey, setting the stage for genuine research surveys for money. Moreover, if you are a member of the SJ Panel, you are liable for getting exclusive offers, and you will get surveys involving specific demographics if you wish for them. Wrapping it up! So, now that you know about SJ Panel, you can clearly think that it is one of the best ways to earn a few extra bucks, right? So, what are you waiting for? Take surveys for money from SJ Panel right away! Read Less
Sample Junction, Sample Junction, shared an update PostedMonday, September 30, 2024 at 8:56 AM How to Use Data Collection Services to Collect Accurate Information In today’s dynamic data-driven landscape, collecting data has become important for organizations to make informed decisions, whether for market research, investment, competitive analysis, recent trends, or customer consumption. Moreover, data collection services refer to a comprehensive procedure that includes gathering, processing,... Read More How to Use Data Collection Services to Collect Accurate Information In today’s dynamic data-driven landscape, collecting data has become important for organizations to make informed decisions, whether for market research, investment, competitive analysis, recent trends, or customer consumption. Moreover, data collection services refer to a comprehensive procedure that includes gathering, processing, and ensuring the accuracy of the data through multiple methods. However, collecting data can be difficult, especially when you have large volumes or complex structured sources. This is where data collection services step in, from collecting, proceeding, and analyzing accurate information - businesses can drive growth, workflow efficiency, and productivity with the right solution. This guide will empower you with the essential aspects of data collection methods for better understanding and confidence in your decision-making processes. What is Data Collection? Data collection is a systematic approach to collecting information via observation or other research-based methods. Professionals, Organizations, and even the Government tend to make informed decisions with data-infused decision-making procedures. Does this sound confusing? Let's have a closer look at the methods used to offer thorough data collection services. A) Primary Data Collection Primary data collection includes collecting information directly from the sources via interviews, observations, experiments, and more. This approach ensures that data is customized to your specific research objectives and requirements to access updated insights. 1. Interviews Interviews include direct, one-on-one interactions between researchers and participants. This qualitative method enables organizations to conduct in-depth research by understanding participants' thoughts, experiences, and instincts. Additionally, interviewers can ask predefined questions, semi-structured questions that allow flexibility, and even unstructured questions to seek open-ended discussions. This method is ideal for understanding complex issues from a participant's perspective. 2. Surveys Surveys are another essential method utilized in data collection services, as they allow researchers to collect information directly from participants. Surveys can be conducted online, through telephone, or in person and can involve closed-ended and open-ended questions. In addition, surveys are often ideal for collecting quantitative data as they can reach larger audiences simultaneously and offer statistical outcomes. The surveys can also be used to collect personalized insights on specific behaviors, opinions, and demographics. 3. Focused Groups Focused groups include guided discussions with smaller groups of participants. This qualitative method is ideal for exploring collective views and discussing particular topics. Additionally, concentrated groups reveal group dynamics, offering insights into social norms and attitudes. This approach is mainly utilized for market research to determine customer preferences and perceptions. 4. Observation Observation is another effective method in which researchers focus on collecting data by observing subjection in the natural environment without any interference. This approach is ideal for determining participants' behavior and interactions in real time. However, remember that observation data can be quantitative or qualitative—it depends on how you record and evaluate it. Lastly, this method enables researchers to collect contextual information that may not be captured in surveys or interviews. B) Secondary Data Collection The secondary data collection methods include utilizing data that has already been collected by other sources such as government reports, commercial datasets, or academic studies This approach enables researchers to use existing information for conducting analysis, which saves time and resources. However, researchers must thoroughly analyze the quality and relevance of secondary research to meet research goals. How to Leverage Data Collection Methods to Access Accurate Information? When you rely on data collection techniques, it is essential to employ effective strategies to ensure the accuracy and reliability of the information, irrespective of the method you opt for. Sounds confusing? Let us explore a few ways to collect accurate details through data collection. 1. Define Your Goals Before engaging with data collection techniques, it's important to define specific research objectives and the required data type. For instance, if you're conducting a market research study, your research objective might be to understand consumer preferences for a new product, and the data type you need could include demographic information and purchasing behavior. Identifying your target population, data formats, and critical variables is also crucial. Next, understand whether you need data on attitudes, demographics, behaviors, etc. Furthermore, specify the geographic scope, time frame, and specific details required. This clarity of data requirements will help you avoid gathering unnecessary or irrelevant information. 2. Standardize Data Collection Procedure High-quality data is essential to maintaining information accuracy. Implementing rigorous data collection procedures, such as training data collectors, standardizing overall processes, and leveraging validated tools, reduces errors and biases in the collected data. Additionally, maintaining consistency in the data collection process ensures the reliability and accuracy of the collected information. 3. Streamline Data For Further Analysis Accurate information is valuable only if it is analyzed thoroughly. Hence, it is essential to implement robust data analysis techniques like statistical analysis to extract meaningful insights from the collected data. Make sure that the analysis is accurate for questions and further research, as it majorly affects the findings and conclusions drawn. 4. Implement a Mixed Data Collection Approach By combining qualitative and quantitative data collection processes, you can enhance the accuracy of the information collected. For example, combining surveys with interviews will allow you to validate quantitative data with qualitative insights. This approach offers a comprehensive and accurate understanding of the research, as it provides both the 'what' (quantitative data) and the 'why' (qualitative insights). 5. Implement Quality Data Control Measures Implement systematic quality control measures across data collection procedures. This includes routine checks for data entries, random audits for collected data, and conducting feedback loops for data collectors. Furthermore, establishing a clear protocol for addressing errors can be helpful to maintain data integrity. 6. Continuously Monitor and Validate Data To maintain data accuracy, it is essential to consistently track and validate your data. This process includes regularly checking for anomalies, comparing data through varied sources, and validating findings via follow-up studies or cross-referencing with accurate data. Furthermore, continuously tracking data will ensure that the information remains accurate and relevant to the dynamic landscape and keep the data updated. 7. Consistently Improve Data Collection Take a closer look at the strengths and weaknesses of the data collection procedure to identify areas for improvement in real-time. Collect feedback from stakeholders on the relevance of your collected data. Furthermore, incorporate the insights into further data collection-based projects and stay abreast of emerging trends in data collection to consistently improve the quality and accuracy of the data. Final Thoughts Whether your goal is to collect data to understand your customer perspective, identify emerging trends and common issues of your audience, or fill the gaps in the workflows, a comprehensive data collection services can help you streamline the process from gathering data, facilitating accurate information and analyzing findings to make informed decisions error-free. To learn more about the data collection procedure, check out Sample Junction’s diverse data solutions today! Read Less