CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

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datapine

NOVEMBER 27, 2019

However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Another increasing factor in the future of business intelligence is testing AI in a duel. Share the essential business intelligence trends among your team! 4) Predictive And Prescriptive Analytics Tools.

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datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Business intelligence and analytics allow users to know their businesses on a deeper level. Let’s see it with a real-world example.

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datapine

AUGUST 29, 2022

This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market. Product/market fit is THE most important factor to get right. Stein Kretsinger, founding executive, Advertising.

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Smarten

JANUARY 27, 2023

Smarten CEO, Kartik Patel says, ‘The addition of PMML integration capability enables faster roll-out and allows users to leverage the Smarten workflow for PMML predictive models, adding more flexibility and power to the Smarten suite of augmented analytics tools.’

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IBM Big Data Hub

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.

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Smarten

NOVEMBER 26, 2023

The Benefits of Business Intelligence (BI) As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs.

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Smarten

NOVEMBER 8, 2022

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says. About Smarten.

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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.

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Smarten

JUNE 25, 2018

This method is used to find groups that have not been explicitly labeled in the data, and it can be used to confirm business assumptions about what types of groups exist, or to identify unknown groups in complex data sets. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data? Use Case – 1.

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Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

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Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

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Smarten

JUNE 21, 2018

How Can Holt-Winters Forecasting Be Used for Enterprise Analysis? Business Problem : Forecasting number of viewers by day for a particular game show for next two months. Business Benefit : If projected claims are lower than expected then proper marketing strategy can be devised to improve sales.

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Cloudera

OCTOBER 4, 2023

We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior. We can reduce costs, eliminate unnecessary work, improve customer satisfaction and experience, and reduce churn. Kudu has this covered.

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Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

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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.

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Smarten

APRIL 19, 2022

Sentiment Analysis can help you solve problems,” says Patel, ‘And it can identify opportunities and improve your brand image and competitive stance in the market.’. Contact the Smarten team for more information on Smarten Augmented Analytics solution and the powerful opportunities provided by Sentiment Analysis. About Smarten.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

JULY 26, 2022

Contact the Smarten team for more information on Smarten Augmented Analytics solution and the Smarten Mobile App. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. About Smarten.

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Smarten

JUNE 25, 2018

How Does One Choose the Right Descriptive Statistics Algorithm for Enterprise Analysis? Business Problem: Find out the average age and income for a particular type of product category purchased. Let’s look at a few use cases for the various types of descriptive statistics. 1) Mean/Median.

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Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

Smarten

JUNE 17, 2022

Contact the Smarten team for more information on Smarten Augmented Analytics solution. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

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Smarten

JUNE 28, 2018

This type of analysis can be applied to segment customers by purchase history, segment users by the types of activities they perform on websites or applications, to develop consumer profiles based on activities or interests, and to recognize market segments, etc. How Does and Organization Use Hierarchical Clustering to Analyze Data?

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Sisense

JULY 6, 2020

Sisense recently surveyed 500 companies to understand how they leverage data and analytics usage and the impact on future plans; the results reinforce how critical analytics are to businesses during times of crisis. Analytics are essential in a crisis. This can be disorienting but also empowering.

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datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data. trillion gigabytes!

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Cloudera

JANUARY 14, 2021

The solution ingested and aggregated data from these temperature sensors with location and on-hand inventory data to predict, monitor, and respond to possible changes in perishable food products such as produce, dairy, and meat.

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Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

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Smarten

JUNE 26, 2018

This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. An enterprise might also use Chi Square to determine if there is a relationship between the region in which a product is purchased, and the product or category of product that is purchased.

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Smarten

JUNE 29, 2018

For instance, if promotions and holiday seasons are significant factors, these factors should be given more focus when devising a marketing strategy. Business Problem: An agriculture production firm wants to predict the impact of the amount of rainfall, humidity, and temperature on the yield of particular crop. About Smarten.

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Smarten

JUNE 27, 2018

Similarly, regression trees can also be used to identify the market segment, identifying who is more likely to respond to a future mailing. The Decision Tree analysis technique is useful in classifying and segmenting markets, types of customers and other categories in order to make decisions on where to focus enterprise resources.

IT 40

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Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

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Smarten

JUNE 29, 2018

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. Business Problem: A market research agency wants to cluster various survey responders into groups, based on the rank correlation output. What is Spearman’s Rank Correlation? Use Case – 2.

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Smarten

JUNE 20, 2018

A basic understanding of the types and uses of trend and pattern analysis is crucial, if an enterprise wishes to take full advantage of these analytical techniques and produce reports and findings that will help the business to achieve its goals and to compete in its market of choice. About Smarten.

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Rita Sallam

JULY 22, 2016

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption. What Happened to Tradition BI?

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Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” But for most enterprise, using machine learning…not really. They would’ve said, “You know what?

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Birst BI

JANUARY 16, 2018

Find out more about how augmented analytics are transforming the BI world by reading this blog by Gartner Research Vice President Rita Sallam , “Just Buying Into Modern BI and Analytics? Get Ready for Augmented Analytics, the Next Wave of Market Disruption.” And follow Birst, an Infor company, on Twitter @BirstBI.

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