Rocket-Powered Data Science

FEBRUARY 12, 2021

The “Next” part of the report probes organizations’ forward-looking strategies and goals over the next one to two years. Interest in AI is high and growing, specifically in the areas of smart analytics, customer-centricity, chatbots, and predictive modeling. The average ROI from RPA/IA deployments is 250%.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

Smarten

NOVEMBER 26, 2018

With the right predictive analytics tool, your business can hypothesize, test theories, discover the effects of a possible price increase, discover and address changing buying behavior and develop appropriate competitive strategies.

Predictive Analytics 58

Predictive Analytics Predictive Modeling Analytics Forecasting 58

FineReport

APRIL 21, 2024

Defining Business Intelligence and SaaS Business Intelligence (BI) encompasses the technologies and strategies used for data analysis and decision-making within organizations. For instance, consider a case where a sales team utilizes SaaS business intelligence software to analyze customer behavior and purchasing patterns in real-time.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

CIO Business Intelligence

AUGUST 7, 2023

Barrios rides shotgun on sales calls, spends time observing winemakers, and drops into meetings with sales and operations planning and the supply chain groups on a regular basis. His efforts are critical to learning workflows, building trust, and nurturing relationships that will help drive organizational change.

IT 80

IT Sales Manufacturing Cost-Benefit 80

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. 4) AIOps increasingly became a focus in AI strategy conversations. And the goodness doesn’t stop there.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. There is significant competition in the industry, and emerging tactics and strategies must be accepted to survive the market competition. The Role of Big Data. Perks Associated with Big Data.

Big Data 142

Big Data Finance Risk Management Risk 142

Smarten

JULY 23, 2019

Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise. Predictive Modeling allows users to test theories and hypotheses and develop the best strategy.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

Rocket-Powered Data Science

OCTOBER 6, 2023

Here are a few business examples of this type of prescriptive analytics: Which marketing campaign is most efficient and effective (has best ROI) in optimizing sales? Which pricing strategies lead to the best business revenue? Broken models are definitely disruptive to analytics applications and business operations.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Sisense

MARCH 24, 2020

Three clear opportunities are ripe to collect, analyze, and act on data: Maximize revenues: Identify drivers to increase sales by evaluating existing customers and processes. They had always offered discounts on different products to their customers but they never had a way to segment and attribute discounting down to sales impact.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Smarten

JUNE 8, 2022

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

IBM Big Data Hub

MAY 17, 2024

Experience building strategies like these have been  used by online retailers for years. These experiences result in higher engagement, increased customer satisfaction, and ultimately, higher sales. Also, generative AI can enhance B2C customer payments by creating personalized and dynamic pricing strategies.

B2B 64

B2B Interactive Optimization Forecasting 64

CDW Research Hub

JULY 17, 2019

After using our predictive models and machine learning to review the data, the organization confidently introduced job sharing, remote jobs, hoteling space and parking consolidation, resulting in improved employee morale by offering more flexible options and a savings of $6 million annually to the company.

Predictive Modeling 44

Predictive Modeling Machine Learning Sales Modeling 44

CIO Business Intelligence

OCTOBER 12, 2023

He’s known as a digital game changer who operates at the intersection of advanced technology and business strategy. I could have any title, but if there’s a component of digital strategy and data and AI that I can help with, he’s going to expect me to do that. If there’s an aspect of business strategy, he expects me to do that.

IoT 113

IoT Manufacturing Strategy Modeling 113

Smarten

JUNE 29, 2018

Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. The dependent variable is product sales data. Business Benefit: A product sales manager can discover which predictors included in the analysis will have significant impact on product sales.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 25, 2018

Business Problem: Discount Analysis and Customer Retention will help the organization to target discounts to specific customers and the business will need to visualize ‘segments of sales group based on discount behavior’ and ‘customer churn to identify segments of customers on the verge of leaving’. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 26, 2018

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling. Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 21, 2018

Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. Business Benefit : If projected claims are lower than expected then proper marketing strategy can be devised to improve sales. Data Pattern : Input data exhibits level and strong upward trend but no seasonality.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Birst BI

OCTOBER 30, 2018

The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smarten

JUNE 29, 2018

Business Problem: A Grocery store sales manager wants to know whether customer segment A spends more on groceries than customer segment B. Based on this value, the grocery store manager can decide on its marketing strategies for better sales and increased revenue. Use Case – 2.

Testing 40

Testing Statistics IT Business Intelligence 40

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Smarten

JUNE 29, 2018

The enterprise can also identify any gap between the targeted and estimated growth and develop an appropriate strategy to reduce this gap in order to achieve targets and results. Business Benefit: By analyzing the various combinations of predictor variables, the business can forecast product growth, trends, patterns and seasonality, if any.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 29, 2018

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with a better strategy of product placement and product bundling. Each customer is represented as a transaction, containing the ordered set of products, and which products are likely to be purchased simultaneously/sequentially can then be predicted.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

DataKitchen

SEPTEMBER 21, 2023

Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Occam's Razor

AUGUST 9, 2021

Might I suggest you start by looking at this prediction and then brainstorm with your Marketing team how you can overcome the shortfall in revenue! Not just using Paid strategies, but Earned and Owned as well. Supercool – aka superhard – elements include being able to tie Brand Marketing to short, medium, long-term Sales.

Metrics 142

Metrics Analytics Key Performance Indicator Predictive Modeling 142

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Now, BA can help you understand why did sales spike specifically in New York.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

CIO Business Intelligence

JULY 17, 2023

Dickson, who joined the Wisconsin-based company in 2020, has launched PowerInsights, a homegrown digital platform that employs IoT and AI to deliver a geospatial visualization of Generac’s installed base of generators, as well as insights into sales opportunities. I joined during COVID, and I didn’t have any talent pipeline.

IoT 89

IoT Digital Transformation Manufacturing Sales 89

Jet Global

JUNE 20, 2023

These stakeholders include developers, sales teams, marketing teams, executives, and other key players. As a product manager, you need to use all the tools at your disposal to add value to their strategies and goals. Product managers rely heavily on collaborations with stakeholders to achieve success with their strategic objectives.

Management 52

Management Forecasting Risk Sales 52

CIO Business Intelligence

SEPTEMBER 2, 2022

How extensive is your data-driven strategy today? So far, we have deployed roughly 71 models with a clear operating income and impact on the business. We have models on safety and HR, but our larger concentrations have been more in supply chain and the sales area. The CEO leadership is involved in this process.

Uncertainty 83

Uncertainty Manufacturing Data-driven Business Intelligence 83

CIO Business Intelligence

SEPTEMBER 2, 2022

How extensive is your data-driven strategy today? So far, we have deployed roughly 71 models with a clear operating income and impact on the business. We have models on safety and HR, but our larger concentrations have been more in supply chain and the sales area. The CEO leadership is involved in this process.

Uncertainty 83

Uncertainty Manufacturing Data-driven Business Intelligence 83

Cloudera

SEPTEMBER 7, 2023

proprietary data, business strategies, methodologies, etc. In this blog series, well dive into the advantages of Trusted AI and the broader ramifications of AI adoption, exploring how financial institutions can bootstrap and evolve their AI strategies, from initial steps to what mature AI adoption looks like. Supercharge communication.

Insurance 83

Insurance Risk Data-driven Finance 83

DataKitchen

JANUARY 17, 2022

It may take six weeks to add a new schema, but the VP may say she needs it for this Friday’s strategy summit. The business analysts creating analytics use the process hub to calculate metrics, segment/filter lists, perform predictive modeling, “what if” analysis and other experimentation. Requirements continually change.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

CIO Business Intelligence

AUGUST 15, 2023

We’re past the point of inflection: Information technology no longer merely supports or even drives an organization’s strategy; it has the power to transform and expand organizational missions and open up new strategic possibilities.

IT 89

IT Manufacturing IoT Cost-Benefit 89

Occam's Razor

JANUARY 7, 2019

Does swapping out male model posters for cute animals triple sales? There is too much goodness in modeling that you are not taking advantage of. From segmentation models to identifying incrementality to predictive modeling to survival analysis to clustering to time series to… I could keep going on and on.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

datapine

JANUARY 31, 2022

That is precious insight for the sales team who can look into the data in real-time and understand what the leverages beneath it are. A simple example is: if there are many low-cost seats still available for an upcoming game, the sales team can send a customized email offer to local students. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

NOVEMBER 18, 2014

In each case the creator did something interesting that made me wonder how I can use their strategy in my daily efforts in service of digital marketing and analytics. Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Short story #6: Conditional Formatting, Simple Strategies To A Drive Big Focus!

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143