Jen Stirrup

SEPTEMBER 19, 2019

360 Orlando and I’m presenting a workshop on From Business Intelligence to Business Analytics with the Microsoft Data Platform. Data becomes relevant for decision making when we start to use it properly, so this workshop will demonstrate the use of analytics for real-life use cases. Power BI and Marketing Data.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

Smarten

SEPTEMBER 14, 2018

The right Predictive Analytics Tool will allow every team member to be a real asset to the organization by allowing them to analyze, monitor and share results and forecast and predict everything from new product success to pricing changes, customer buying behavior, sales and investment and risk results and market opportunities.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

IBM Big Data Hub

OCTOBER 5, 2022

IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP).

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

SEPTEMBER 19, 2023

The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets. Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

FineReport

AUGUST 11, 2021

Dashboard for business development. Sales leaderboard(by FineReport). When looking for a good way to track individual sales performance and motivate the team to achieve goals, sales leaderboards are a good choice. Moreover, sales leaderboard will encourage healthy competition among your company. Conclusion .

Dashboards 52

Dashboards Metrics Sales Visualization 52

Smart Data Collective

OCTOBER 31, 2021

Making the right choice involves determining: quality of the assortment; choice; regularity of deliveries; the ability to make additional deliveries; preferential sales prices. Analytics technology can help in a number of ways. Analytics is Crucial to the Future of E-Commerce.

Analytics 107

Analytics Data mining Analytics Technologies Sales 107

BizAcuity

FEBRUARY 22, 2019

Financial Analytics – An Outlook. In today’s world of competitive businesses, analytics is an essential part of staying competitive especially in this digital era where data is omnipresent. About 83% of companies that take part in an event take part in an event because they want to increase their sales.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

Smart Data Collective

NOVEMBER 25, 2019

Predictive Business Analytics. Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

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. For the predictors with the most impact, the team can make important strategic decisions to meet product sales targets.

Business Analysis 40

Business Analysis IT Sales Statistics 40

FineReport

APRIL 9, 2024

Among the latest BI trends , advanced analytics and predictive modeling stand out as key focal points, enabling businesses to extract deeper insights from their data assets. As businesses navigate an increasingly data-driven environment, staying abreast of these trends is essential for leveraging data as a strategic asset.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

NOVEMBER 2, 2022

By building on our existing portfolio of business intelligence (BI) and planning analysis solutions, our clients are transcending manual and siloed analysis processes to optimize financial targets, sales goals, and operational capacity requirements. Clients can now request access to procure IBM Planning Analytics as-a-Service on AWS.

Data-driven 62

Data-driven Business Analytics Analytics Forecasting 62

Jet Global

JULY 11, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

datapine

MARCH 25, 2022

We already saw earlier this year the benefits of Business Intelligence and Business Analytics. In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Confused yet?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

datapine

FEBRUARY 9, 2024

For those who want to experiment with less-explored, off-the-beaten-track KPIs, there are two standard practices for evaluation that can help businesses determine whether those particular performance indicators will be effective: the “SMARTER” criteria and the “Six A’s.” Sales: Where do we stand regarding our targets?

KPI 221

KPI Management Key Performance Indicator Measurement 221

IBM Big Data Hub

MAY 12, 2022

Specifically, we see an increase of line-of-business areas using planning for “what if” and scenario modelling, determining multiple pathways to success for comparison. They are using AI forecasting and decision optimization algorithms to enable success in a world of finite resources and time. This solution was a success for Novolex.

Business Analytics 57

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 57

Jet Global

OCTOBER 1, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Sisense

FEBRUARY 1, 2021

An ideal PLM framework will track a product through its history, charting designated aspects of production and sales (by way of PDM inputs, service requirements, and spec revisions), all the way to product retirement. Generating vast data stores along the way, the PLM framework is now a primary beneficiary of ML-based data analytics.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

IBM Big Data Hub

OCTOBER 19, 2023

According to Chandak, “IBM Planning Analytics significantly simplified tasks by offering comprehensive governance throughout the entire budgeting process and unlocked substantial value for the organization. Notably, the team’s around-the-clock availability led to significant customer satisfaction.

Forecasting 103

Forecasting Data-driven Business Analysis Sales 103

IBM Big Data Hub

OCTOBER 27, 2022

Yet Newcomp continues to be an essential and trusted partner, helping the company keep up with the high volume of analytics solutions it needs to address. Helping clients close the business analytics skills gap. The company’s up-to-date expertise with IBM Cognos Analytics and their close relationship with IBM are key factors.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

CIO Business Intelligence

MARCH 22, 2022

He has 20 years’ experience in IT strategy, architecture, implementation, and governance, and is a qualified Chartered Accountant with a certification in contemporary business analytics practices from IIM Kolkata. Nitin Mittal joins Zee Entertainment Enterprises.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Smart Data Collective

MAY 19, 2021

Business likes specifics. If there are sales, the management needs to know exactly how much product was sold today, how much last month, how much more or less compared to last year. With the help of BI, the sales department has a tool for planning and evaluating the execution of plans. Such questions arise in any company.

Business Intelligence 94

Business Intelligence Sales Reporting Visualization 94

datapine

MAY 16, 2019

Why Are Restaurant Analytics Important? Business analytics for restaurants is integral to understanding the inner workings of your business but and being aware of how you can improve it to foster a sustainable level of success that will set you apart from the competition. Forecasting trends.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Smarten

JULY 10, 2018

Use Case(s): Weather Forecasting, Fraud Analysis and more. Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis? Multiple Linear Regression: What is Multiple Linear Regression and How Can it be Helpful for Business Analysis?

Analytics 40

Analytics Forecasting Statistics Sales 40

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. Businesses need a single source of truth.

Modeling 52

Modeling OLAP Reporting Sales 52

Sisense

MAY 27, 2021

Spending on AI is forecast to double over the span of four years, growing from just over $50 billion in 2020 to a whopping $110 billion in 2024. According to research by data analytics firm Exasol, 87% of U.S. And Brian had one final piece of advice for product teams: “Don’t forget traditional business analytics,” he said. “AI

Forecasting 52

Forecasting Sales Analytics Marketing 52

BizAcuity

APRIL 14, 2022

Did you know that the big data and business analytics market is valued at $198.08 Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Which pricing strategies lead to the best business revenue?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 11, 2021

Predictive analytics is one of the BI systems features that is becoming increasingly more popular as it can play a fundamental role in helping businesses optimize their operations and potential development. As its name suggests, the predictive analytics feature aims to generate forecasts about future performance.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

datapine

AUGUST 29, 2022

Siegel’s research makes it clear that predictive analytics is not a sneaky procedure used by companies to sell more, but a significant leap in technology that, by predicting human behavior, can help combat financial risk, improve health care, reduce spam, toughen crime-fighting, and yes, boost sales.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. Share the essential business intelligence trends among your team! 4) Predictive And Prescriptive Analytics Tools. 7) Augmented Analytics. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. 3) Triple Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Jet Global

JULY 1, 2022

Reshaping Future Growth: Top Tips on How to Manage Tax Forecasts. As the world demands greater business agility, and as BEPS promises to radically shift the tax landscape, tax departments have a powerful case for change. The tax team’s work often hinges on the quality and timeliness of the finance data that underpins their forecasts.

Software 98

Software Forecasting Finance Reporting 98

Jet Global

JUNE 22, 2023

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. One school of thought distinguishes BI and business analytics along these past/future lines.

Analytics 52

Analytics Business Intelligence Reporting Sales 52

Jet Global

APRIL 10, 2023

Finance decision makers should seize every opportunity to automate processes when possible, freeing up resources for deeper analysis and strategic planning and forecasting. Using Automation to Make Up for Missing Skills Finance team leaders have expanded their arsenal by realizing the advantages of automating processes when possible.

Finance 52

Finance Forecasting Reporting Software 52

Jet Global

SEPTEMBER 22, 2022

Scenario planning also adds to the accuracy of forecasting, with 54 percent of scenario planners able to forecast to within plus or minus five percent of earnings and revenue. Due to their complexity and susceptibility to manual entry errors, creating agile scenario plans and rolling forecasts is simply not feasible in spreadsheets.

Modeling 52

Modeling Forecasting Finance Uncertainty 52