Sisense

JANUARY 22, 2021

That advice is a quintessential actionable insight: The algorithm models the applicant’s probability of success by training on a mountain of historical data and market factors. Therefore, let’s see how ML models in asset management and optimal portfolio trading produce actionable insights.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

datapine

DECEMBER 4, 2019

The commercial use of predictive analytics is a relatively new thing. The accuracy of the predictions depends on the data used to create the model. For instance, if a model is created based on the factors inherent at one company, it doesn’t necessarily apply at a second company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smart Data Collective

JANUARY 26, 2022

Data visualization methods, such as graphs and charts, reveal trends and insights in an instant. Which features in the data are the most useful to predict which claims will be complex Present them with different groups of claims that are often complex, Create a model to allow legal representants to predict which future claims will be complex.

Data Analytics 72

Data Analytics Analytics Predictive Analytics Insurance 72

Smart Data Collective

APRIL 2, 2021

There are a lot of ways to use big data for an ecommerce business model. Data Analytics Shows Best White Label Products for Ecommerce in 2021. We found invaluable data from a variety of market analytics platforms, which helped us come up with this list. 1) Mobile covers. 6) Infant wear.

Big Data 78

Big Data Marketing Sales Data mining 78

Occam's Razor

JANUARY 4, 2022

The paper from the respected body made me open PowerPoint and create a visual that would make the case for never identifying Conversion Rate or ROAS the Most Important KPI in your company / practice of analytics. It is published 50x/year, and shares bleeding-edge thinking about Marketing, Analytics, and Leadership.

KPI 127

KPI Advertising Metrics Measurement 127

Ontotext

JANUARY 6, 2022

“Power Unit” vs “Power Plant”); Some VAT numbers of market participants are syntactically invalid or expired; And this is what transpired by integrating only a tiny bit of ENTSO-E Transparency data in a knowledge graph. Kibana is a very powerful tool for making analytics that is part of the Elastic stack.

Marketing 52

Marketing Data Quality Dashboards Visualization 52

Smart Data Collective

MAY 19, 2022

billion on marketing analytics in 2020 alone. Funnel management: Automated follow-up notifications, modeling depending on potential customer demands and trends, and statistics by product, main source, and other variables can help you simplify your sales process. The sales profession is one of the areas most affected by data.

Sales 133

Sales Big Data Cost-Benefit Marketing 133

Darkhorse

APRIL 9, 2018

Or is it a static problem where the model will stay the same. This model is often called an Analytics Center of Excellence and it operates as an internal consulting group advising the organization over the long term. There are also a number of new firms that specialize in analytics consulting.

Consulting 58

Consulting Cost-Benefit Machine Learning Analytics 58

Occam's Razor

AUGUST 28, 2017

I’ve covered AI earlier: Artificial Intelligence: Implications On Marketing, Analytics, And You. The team at Google adopted the strategy of having a robot learn own its own (rather than programming it with pre-configured models). If you’ve not read that post, I do encourage you to do so as it will have valuable context.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Decision modeling (one of my favorites).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52