CIO Business Intelligence

NOVEMBER 14, 2022

With organizations increasingly focused on data-driven decision making, decision science (or decision intelligence) is on the rise, and decision scientists may be the key to unlocking the potential of decision science systems. ERP dashboards. Crop planning. Clinical DSS. Clinical DSS. DSS user interface.

Data mining 125

Data mining Data-driven Statistics OLAP 125

Cloudera

OCTOBER 4, 2023

We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets. Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. We can also benefit from real-time stock ticker analytics, and other highly monetizable data assets.

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

Smarten

SEPTEMBER 11, 2017

Plug n’ Play Predictive Analysis: Sophisticated, Yet Easy for Every User! Oh, the confusion of advanced analytical terminology. But, if you get the right Advanced Analytics Tools , you don’t have to worry about all of that because the tool will do the work for you.

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Boris Evelson

FEBRUARY 23, 2022

The other 80% still rely on the data and analytics skills of those 20% who do use BI applications. Over the last couple of decades, we’ve been observing a seemingly impenetrable barrier: No more than 20% of enterprise decision-makers who could be using business intelligence (BI) applications hands on are doing so.

Dashboards 97

Dashboards Business Intelligence Enterprise Analytics 97

Sisense

JULY 29, 2020

That’s where data and analytics are vital: They can help you make the right decisions to shape your organization’s future, both near- and long-term. Other organizations are more fortunate, because they have the wisdom to put data at the heart of their decision-making and they are prepared to pivot sharply based on this data.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Birst BI

DECEMBER 18, 2018

According to Gartner, more than 3,000 CIOs ranked Business Intelligence (BI) and Analytics as the top differentiating technology for their organizations. If BI and Analytics is such a game-changer, then why is the average adoption rate in organizations only 32%? On Jan 29, Birst will introduce Smart Analytics powered by Coleman AI.

KPI 89

KPI Analytics Machine Learning Dashboards 89

Cloudera

APRIL 9, 2021

The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. And this blog will focus on Predictive Analytics. Data Collection – streaming data. Data Enrichment – data engineering. The ML Solution.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. We will then look at 18 big data examples in healthcare that already exist and that medical-based institutions can benefit from.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Boris Evelson

SEPTEMBER 21, 2020

It’s technology first, not business-led; the graphical user interface (GUI)-based user experience (UX) doesn’t address ease of use for all business decision-makers; there are too many underutilized reports and dashboards floating around in the enterprise; and signals produced by […].

Business Intelligence 143

Business Intelligence Dashboards Enterprise Reporting 143

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smart Data Collective

APRIL 22, 2020

Whether to help us mount a defense, adjust our personal habits or anticipate where the disease will take the heaviest toll, each of the following risk factors plays a role in analytical models : Age, location and socioeconomic status. Predicting Patient Treatment Outcomes. Social and hygiene habits. Pre-existing medical conditions.

Big Data 111

Big Data Machine Learning Risk Interactive 111

Decision Management Solutions

JUNE 25, 2019

Data shows that a traditional data-first approach to analytics is not generating much value for companies and I urged the audience instead to adopt a decisions-first mindset. The last mile – getting ML models embedded into production systems – is critically important for analytic value and yet it is hard and often neglected.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

IBM Big Data Hub

AUGUST 7, 2023

Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships. AI models can be designed to detect anomalies in real-time site performance data.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! By managing your information with data analysis tools , you stand to sharpen your competitive edge, increase your profitability, boost profit margins, and grow your customer base.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. First, we create a Redshift database into which Azure Synapse data will be migrated.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

Sisense

NOVEMBER 30, 2020

Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. The trend of converting data into profitable insights is now an industry in itself. Zoom and LinkedIn: Connecting people, collecting data.

Analytics 98

Analytics Dashboards Metrics Data-driven 98

Smarten

AUGUST 23, 2022

But, when it comes to analytics, NLP is typically much more restrictive. Talk all you want about machine learning and natural language processing but the boundaries and restrictions placed on these concepts in a typical analytical solution do not make it as easy as business users might like. Ask a question and get an answer.

Data-driven 76

Data-driven Sales Optimization Machine Learning 76

Smarten

MAY 18, 2022

If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find and analyze data. Business goals include improving results and productivity, and getting the best results out of your data, as well as gaining meaningful insight into data.

Data-driven 67

Data-driven Sales Metrics Testing 67

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. Here are a handful of high-profile analytics and AI blunders from the past decade to illustrate what can go wrong. Data limitations in Microsoft Excel.

Analytics 142

Analytics Machine Learning Insurance Testing 142

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.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Birst BI

JANUARY 29, 2019

Operationalizing BI and analytics – that is, putting the power of data in the hands of everyone across the enterprise, not just analysts and data scientists – has always been the mantra for Birst co-founder Brad Peters. And data scientists may represent less than 1% of users in an organization.

Analytics 78

Analytics KPI Machine Learning Visualization 78

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Sisense

AUGUST 22, 2019

Python, R, and Analytics. From accessing to transforming to reporting on data, SQL gives you the power to get the job done. These are the types of questions that take a customer to the next level of business intelligence — predictive analytics. . Take control of your analytics stack and get more done, faster. .

Analytics 73

Analytics Business Intelligence Visualization Predictive Analytics 73

Smarten

JUNE 12, 2017

Since we work in the world of data science and analytics, I will restrict my discussion to this, though I have a plenty of opinion in the other areas. The other added solution is a self-learning bot which manages the analytics for you. So it is prediction running on predictive analytics.

Analytics 40

Analytics Predictive Analytics KPI Sales 40

FineReport

JULY 18, 2022

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. Finally, the budget can not be ignored.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

DataRobot Blog

NOVEMBER 8, 2022

Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. Organizations like Mindshare, a global media agency network, drive client value by using data to understand consumers and how media influences them on a deeper level than any organization on the planet.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smarten

JULY 26, 2022

Smarten is pleased to announce the launch of its Mobile Application for Smarten Augmented Analytics. Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.”

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

APRIL 13, 2022

A recent Gartner study states that, the number of data and analytics experts in business units will grow at three times the rate of the experts in IT departments, forcing companies to rethink their organizational models and skill sets. Don’t just focus on teaching the basics of data analysis and the use of tools.

Analytics 52

Analytics Data-driven Metrics Testing 52

Smarten

APRIL 11, 2018

This new enterprise role is known as an ‘Analytics Translator’ and, while there is some confusion regarding the distinction between this role and the newly minted Citizen Data Scientist or Citizen Analyst , there are some subtle but important differences. What is a Citizen Data Scientist (Citizen Analyst)?

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212