Clarisights’ Post

Most marketers today are “data janitors” (latest Forbes article). There is more data and complexity than ever. ** 41% of marketers spend at least half of their time preparing data ** More than a third say they spend 25% to 50% of their time on the task This indicates a major efficiency gap in our industry as marketers have turned into data janitors. If preparing data takes a significant amount of work before it can be analyzed, taking action on insights becomes more of a challenge - both in the amount of time there is available to do it, and considering how much mental energy marketers may have to act on it. ** 27% said the biggest challenge was integrating data from different platforms and tools. ** Cleaning and formatting data to be used for analysis is the largest challenge for 22% of respondents. Questions: 1) Where is this gap coming from? 2) How is this reality leading to missed opportunities? 3) How to close this gap? Read more here: https://buff.ly/4d42Z3i #data #bi #marketinganalytics #marketing

Data Story - Data quality and data hygiene might seem like “table stakes” for any business, but believe it or not some of the largest companies in the world still stumble. This week’s data story highlights a few of the most notable data quality errors in recent memory. From mistargeted advertising budgets to one wrong keystroke costing millions, simple errors can have large consequences. Managing data properly is a multi-faceted process. Proper employee training, reliable database access, regular review cycles, and much more. We’re here to make that process a lot easier. What’s the impact of data quality for your business? https://lnkd.in/ejCtEVJ  Article:  https://lnkd.in/e4Ekfqs2  #strategy #datamining #bigdata #directmarketing #customer #campaigns #data #insights #solution #metrics #datadriven #conversion #smallbusiness #marketing #business

Digital Marketing 101 Data-driven decision-making, facilitated by digital transformation, harnesses data analytics to extract actionable insights, fostering informed choices. This process involves: 💠Data Collection & Analysis: Gathering and processing data for valuable insights. 💠Predictive Analytics: Forecasting trends and potential outcomes based on data patterns. 💠Real-time Monitoring: Continuous tracking for immediate decision adjustments. 💠Decision Optimization: Using insights to enhance strategies and operations. 💠Performance Evaluation: Assessing outcomes to refine future decision-making. Embrace data analytics to drive informed choices, optimising strategies for business success! https://lnkd.in/e2vXzJM #digitalschoolofmarketing #DataDrivenDecisions #AnalyticsInsights #PredictiveAnalytics #RealTimeMonitoring #DecisionOptimization #PerformanceEvaluation #DigitalTransformation #DataAnalytics #InformedDecisions #BusinessStrategy

One of the most underrated way to measure success of your expenditure is analysing data. many organisations are happy to spend without truly understanding the impact of their initiatives. sometimes it can be difficult, however these days there are so many tools and majority of views are online it makes it so much easier to understand how effective your spending is. this applies not only to marketing costs but also staff. data analytics are a key skill not only as a sole profession but also a core competency. #Datadriven #metrics #web3 #dataanalytics

Analytics System Audit - Is your website analytics setup optimised? Many companies miss out on gaining actionable insights because their analytics tracking is not properly implemented. Our comprehensive Analytics System Audit service evaluates your current setup and identifies gaps that prevent you from gaining a complete understanding of your website data. We provide specific solutions to optimise your analytics tracking, ensuring you have the right foundation to leverage your data for strategic decisions. With a solid analytics foundation, you can unlock the full potential of your website data.

A data audit is essential for laying the groundwork for successful predictive data marketing strategies. The audit assesses the quality, accuracy, and relevancy of current data, identifying gaps and inconsistencies. This step ensures data readiness for effective implementation of predictive analytics, leading to more targeted and efficient marketing campaigns. Conducting a data audit is crucial for optimizing predictive data marketing, paving the way for data-driven decisions and enhanced marketing effectiveness. https://lnkd.in/evv7_EWV #data #predictiveanalytics #marketing #innovation #marketingeffectiveness

Data Story - In our conversations about data hygiene, one of questions coming to your mind may be…. How bad can it be? This week’s article gives us insight into a few of the national trends in relation to data hygiene. -Experian reports that companies across the globe feel 26% of their data is dirty. Costing the average business 15% to 25% of revenue yearly -Human error influences over 60% of dirty data, and poor interdepartmental communication is involved in about 35% of inaccurate data records -Only 16% of business executives are confident in the accuracy that underlies their business decisions Did any of these statistics surprise you? Get in touch below and let’s see how we can clean up your data! www.tinyurl.com/IDSDirect  Article:  https://lnkd.in/eKKuYj_N  #strategy #datamining #bigdata #marketing #directmarketing #customer #campaigns #data #insights #solution #metrics #datadriven #conversion

Imagine you're a marketing manager tasked with analyzing campaign performance data to determine the most effective strategies for driving sales. However, you're struggling to make sense of the vast amount of data at your disposal. 😵💫   Understanding this data is crucial for making informed decisions and optimizing future campaigns. Not sure where to start? We have just the right webinar for you! Check it out and register here: bit.ly/dbc-46   Join our webinar, "Analytics and Reporting: Understanding the Significance of Data," with Muhsin H. and learn how to turn raw data into actionable insights that drive business success. This session is perfect for data analysts and professionals who want to make the most of their data.   🔸In this session, you will learn how to gather, process, and analyze data, we'll show you how to find patterns and trends in your data using different techniques and tools and you’ll also learn how to present your findings in a clear and impactful way.    🔸You'll also learn how companies use data to do better than their rivals and get tips for making reports and dashboards that share your insights well. 💡😃   But that's not all—there’s so much more value you’ll gain from this webinar.   Don’t miss this chance to improve your skills in data analytics and reporting.   📅 Date: Wednesday, 13th June 2024  ⏰ Time: 1 PM   🔗You can register here: bit.ly/dbc-46   #DataAnalytics #DataReporting #BusinessIntelligence #DataDrivenDecisions #Webinar

The primary goal of traditional data analysis is to present information in a way that is easy for non-technical decision makers to understand. The results of descriptive analytics are highly accurate because the data usually doesn’t change during the analysis. Examples of insights uncovered through traditional analytics include past product performance, company profitability, inventory lead times, and advertising program success. By mainly looking at this visualisation you will automatically know the city with the highest Revenue and also the gender with highest purchase.

𝑴𝒊𝒔𝒔𝒊𝒏𝒈 𝒅𝒂𝒕𝒂 𝒄𝒂𝒏 𝒎𝒆𝒔𝒔 𝒖𝒑 𝒚𝒐𝒖𝒓 𝑨𝒏𝒂𝒍𝒚𝒔𝒊𝒔 In data analysis, handling missing values is a critical step to ensure the accuracy and reliability of your insights. A common solution is to fill those fields with the Average. But you can do better. You need to understand Why they were missing? Check if there is a pattern 𝑬𝒙𝒂𝒎𝒑𝒍𝒆: Imagine you're analyzing Customers data for a marketing campaign and you find the Age is missing for a group of customers. After further analysis you see that younger customers tend to ignore the Age field. Now, you can take the average age based on a customers segment instead of taking it based on all customers. By understanding the context behind missing data, you empower your analyses to deliver more actionable results. Remember, Data Cleaning is the most important step in Data Analysis. How do you handle missing data? tell us in the comments #data #dataanalysis #datacleaning #excel