Expert insights. Personalized for you.
This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Benefits of prescriptive analytics. The casino business is one that is booming quickly. MORE
Predictive analytics is one of the biggest disruptive technologies shaping the eCommerce industry. IQLECT published an article on this last year titled The Importance of Predictive Analytics for E-commerce Stores. Predictive analytics makes it easier to find ever green niches. MORE
Technology was more readily available than ever, but big data was not a thing yet. Therefore, they will develop new technologies to achieve these results. You can use big data technology to study more effectively and get more value from your education. MORE
Thought Leadership Artificial Intelligence (AI) Customer Recommendation Customer Success Making AI Real Predictive Analytics technology MORE
As stated in an article on GoodData, “Artificial intelligence in business intelligence helps democratize data and improve analytics adoption. Radical advances in computing power, predictive analytics, machine learning, and AI have opened the door to a new generation of BI tools.”. MORE
What is Advanced Analytics and Is It Suitable for Every Business? Advanced analytics is an aspect of data science, leveraging sophisticated algorithms, methodologies and tools to understand trends, and patterns, and predict future results. MORE
Technology changes are happening everywhere, and government agencies are no different. With the increase in technology purchases and interest in technology across all areas of government, you must be able to support your agency with ROI analysis and audit capabilities. MORE
Companies use big data analytics to uncover new and exciting insights in large and varied datasets. These analytical insights help teams make quick, informed decisions and build satisfying products. Big data analytics isn’t a synonym for data science, though the two are often confused. MORE
The good news is that new machine learning and predictive analytics technology is making it much more secure. Google is taking privacy more seriously these days. Last year, the Washington Post reported that they adopted some new big data security standards. MORE
New advances in predictive analytics are helping solve many of these threats. Here are some reasons that predictive analytics technology is going to be the best line of defense against hackers and malware for the foreseeable future. This is where predictive analytics technology can be invaluable for security purposes. Predictive analytics technology is essential for identifying the regions where most of these attacks originate. MORE
Revenue Analytics is simple terms can be defined as a set of decisions support tools that help finance and contracting professionals in making informed decisions based on reliable insights. Revenue Analytics in Event Industry – An Overview. MORE
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. People-process-technology speak is no longer enough to traverse the technological landscape. MORE
We focus all of our energy on creating analytics technology that maximizes the accessibility of data to all. That’s why we’ve teamed up with Google to introduce the Google Sheets Analytics template built by Sisense. MORE
IBM Analytics technology can help schools make the most of this raw data by gathering it, analyzing it and visualizing it in a way that is useful for educators MORE
2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. Embedded analytics accelerates. Cloud analytics adoption skyrockets. MORE
If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Birst is driving innovation with broad technology patents. MORE
We held our inaugural Data and Analytics Summit in Mexico City last month. Here’s what I learned about data and analytics from the Mexico perspective. Data and analytics is hot. Data and Analytics once again tops the list of CIO priorities globally and also in Latin America. MORE
According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. Many people are debating the impact data technology will have on academia. MORE
Fortunately, new data analytics advances can help. Data analytics technology is transforming the future of online education. However, new analytics technology will be just as critical for online training of various careers. MORE
On Tuesday of this week I attended the invitation only, 1st annual Oracle Analytics Summit at the Skywalker Ranch just outside of San Francisco. At the Summit Oracle introduced new analytics products and announced plans to simplify the products and unify them under the Oracle Analytics brand. MORE
There are a number of ways that big data technology has made the workforce more efficient and fragmented. Companies have an easier time justifying the use of these workers, because new analytics technology helps them assess the ROI. Big data analytics has shown this. MORE
Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.” MORE
They should use the latest technology to have a competitive edge in the market. New technology has always been at the forefront of the financial industry. The emergence of flash trading is a prime example of a new technology that hurts short term traders. Predictive Analytics MORE
When it comes to more advanced technologies, however, adoption rates vary dramatically. Breakdown of used technologies across different sectors (N=208). Among the surveyed industries, manufacturing and public sector companies are the slowest to adopt the security analytics technologies. MORE
There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms. Predictive analytics technology is helpful for both. MORE
In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. MORE
T he proverbial computing troika – the technological trio of cloud, mobile and social computing – is not showing any signs of slowing down. As the results of our study clearly indicate, general awareness of various security analytics technologies is high across all surveyed industries. MORE
The post Useful Big Data: The Fastest Way appeared first on DSI Analytics. TechnologyThese days, even small to mid-sized companies can start getting valuable insights from Big Data within just a few weeks or even days. Of course, there are several flavors of Big Data, most of which fall into the categories of machine generated or customer journey data. There are also many ways to capture and use […]. MORE
SAP today announced plans to acquire KXEN, a provider of predictive analytics technology. This is an interesting development for both companies and highlights the focus on the democratization of predictive analytics, especially for marketers. The proposed deal puts the spotlight on two shifts in the analytics landscape: […]. customer analytics customer insights predictive analytics MORE
Analytic failures that stem from misleading data sets. A lot of analytics turns out to be adversarial. Analytic technologies TextIn my initial post on brittleness I suggested that a typical process is: Build something brittle. Strengthen it over time. In many engineering scenarios, a fuller description could be: Design something that works in the base cases. Anticipate edge cases and sources of error, and design for them too. Implement the design. MORE
Industry-specific data analytics technology has advanced exponentially over the last decade. Before the development of analytics software, data management relied on manual input. Purchase orders were received in person, over the phone, or by way of fax or email. MORE
As a general rule in IT: New technologies and products are brittle. The technology was only able to generate apps that performed a limited set of functions — too limited to be useful outside of certain niches — and never successfully evolved further. Many of the previous points apply to enterprise applications, which facilitate business processes, have UIs, and commonly involve platform-like technology as well. MORE
The post Open Source: A primer for Big Data appeared first on DSI Analytics. Technology apache hadoop Big Data open sourceIt is nearly impossible to talk about Big Data without making frequent reference to a broad ecosystem of computer code that has been made available for use and modification by the general public at no charge. History of open source In the early days of computing, computer code could be considered an idea or method, […]. MORE
I recently answered a client question regarding an application that could be based on either business intelligence (BI) or text analytics technology. advanced analytics business intelligence robotic process automation (RPA) text analytics RPAQuestion: “We receive quarterly and yearly account statements for our investments. Each statement will contain key pieces of information, such as total contributions, expenses, interest income, etc. MORE
They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior. They have developed analytics models to address looming changes in the dynamic industry. MORE
Everyone it seems wants to be an analytic enterprise. But what does it mean to be an analytic enterprise? An analytic enterprise applies analytics deeply and broadly. It uses analytics to solve its most critical run-the-business problems. MORE
Large enterprises are investing heavily in cloud-based analytics technologies. What qualities should they be looking for in these cloud vendors? Find out more MORE
Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […]. Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb! MORE
Business process management (BPM) and application development teams using rule engines and embedding business logic into the business processes and into the application systems Analytics and data science teams producing data science models and reports to help people make better decisions Management science teams, also called operations research teams, use sophisticated mathematical techniques, such as optimization to find the best available solution in complex decision scenarios. MORE
Information is the oil of the 21st century, and analytics is the combustion engine - Peter Sondergaard, Senior Vice President, Gartner.It The leading players have already started embracing the big data analytics technology to reap great benefits, engage customers, and engineer new experiences. MORE
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. Financial analytics is helping businesses in understanding current and past performance; predict future performance thereby arriving at making smarter decisions. Financial Analytics in Event Management Industry – A summary. MORE
Business users now have greater than ever access to data & analytics technologies so that they can obtain current insights on their KPIs. The opportunity for businesses is to simultaneously provide support for self-service analytics, whilst ensuring security and integrity. MORE
For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite. Data management and data integration as the basis for advanced analytics. MORE
Analytics Technologies Related Topics Forrester's Customer Insights
JUNE 14, 2018
Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […]. Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb!
Jedox
FEBRUARY 13, 2020
For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite. Data management and data integration as the basis for advanced analytics.
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Jedox
FEBRUARY 20, 2020
Thought Leadership Artificial Intelligence (AI) Customer Recommendation Customer Success Making AI Real Predictive Analytics technology
Jedox
OCTOBER 31, 2019
Jedox Software Thought Leadership Business Intelligence CPM Data Visualization Financial Performance Performance Management Predictive Analytics technology
DMBS2
JUNE 20, 2018
Analytic failures that stem from misleading data sets. A lot of analytics turns out to be adversarial. Analytic technologies TextIn my initial post on brittleness I suggested that a typical process is: Build something brittle. Strengthen it over time. In many engineering scenarios, a fuller description could be: Design something that works in the base cases. Anticipate edge cases and sources of error, and design for them too. Implement the design.
DMBS2
JUNE 20, 2018
As a general rule in IT: New technologies and products are brittle. The technology was only able to generate apps that performed a limited set of functions — too limited to be useful outside of certain niches — and never successfully evolved further. Many of the previous points apply to enterprise applications, which facilitate business processes, have UIs, and commonly involve platform-like technology as well.
Phocas
OCTOBER 13, 2019
Industry-specific data analytics technology has advanced exponentially over the last decade. Before the development of analytics software, data management relied on manual input. Purchase orders were received in person, over the phone, or by way of fax or email.
|
IBM Big Data Hub
AUGUST 13, 2018
IBM Analytics technology can help schools make the most of this raw data by gathering it, analyzing it and visualizing it in a way that is useful for educators
DataFloq
JULY 8, 2020
Information is the oil of the 21st century, and analytics is the combustion engine - Peter Sondergaard, Senior Vice President, Gartner.It The leading players have already started embracing the big data analytics technology to reap great benefits, engage customers, and engineer new experiences.
DataFloq
JULY 26, 2019
As stated in an article on GoodData, “Artificial intelligence in business intelligence helps democratize data and improve analytics adoption. Radical advances in computing power, predictive analytics, machine learning, and AI have opened the door to a new generation of BI tools.”.
DataFloq
MARCH 12, 2020
Business users now have greater than ever access to data & analytics technologies so that they can obtain current insights on their KPIs. The opportunity for businesses is to simultaneously provide support for self-service analytics, whilst ensuring security and integrity.
DSI Analytics
APRIL 3, 2017
The post Open Source: A primer for Big Data appeared first on DSI Analytics. Technology apache hadoop Big Data open sourceIt is nearly impossible to talk about Big Data without making frequent reference to a broad ecosystem of computer code that has been made available for use and modification by the general public at no charge. History of open source In the early days of computing, computer code could be considered an idea or method, […].
Smart Data Collective
AUGUST 3, 2020
Fortunately, new data analytics advances can help. Data analytics technology is transforming the future of online education. However, new analytics technology will be just as critical for online training of various careers.
|
Decision Management Solutions
JULY 16, 2020
Everyone it seems wants to be an analytic enterprise. But what does it mean to be an analytic enterprise? An analytic enterprise applies analytics deeply and broadly. It uses analytics to solve its most critical run-the-business problems.
DSI Analytics
JANUARY 20, 2017
The post Useful Big Data: The Fastest Way appeared first on DSI Analytics. TechnologyThese days, even small to mid-sized companies can start getting valuable insights from Big Data within just a few weeks or even days. Of course, there are several flavors of Big Data, most of which fall into the categories of machine generated or customer journey data. There are also many ways to capture and use […].
Smarten
APRIL 20, 2020
What is Advanced Analytics and Is It Suitable for Every Business? Advanced analytics is an aspect of data science, leveraging sophisticated algorithms, methodologies and tools to understand trends, and patterns, and predict future results.
Forrester's Customer Insights
JULY 26, 2018
I recently answered a client question regarding an application that could be based on either business intelligence (BI) or text analytics technology. advanced analytics business intelligence robotic process automation (RPA) text analytics RPAQuestion: “We receive quarterly and yearly account statements for our investments. Each statement will contain key pieces of information, such as total contributions, expenses, interest income, etc.
Smart Data Collective
MARCH 29, 2019
New advances in predictive analytics are helping solve many of these threats. Here are some reasons that predictive analytics technology is going to be the best line of defense against hackers and malware for the foreseeable future. This is where predictive analytics technology can be invaluable for security purposes. Predictive analytics technology is essential for identifying the regions where most of these attacks originate.
Srividya Sridharan
SEPTEMBER 10, 2013
SAP today announced plans to acquire KXEN, a provider of predictive analytics technology. This is an interesting development for both companies and highlights the focus on the democratization of predictive analytics, especially for marketers. The proposed deal puts the spotlight on two shifts in the analytics landscape: […]. customer analytics customer insights predictive analytics
Perficient Data & Analytics
JUNE 28, 2019
On Tuesday of this week I attended the invitation only, 1st annual Oracle Analytics Summit at the Skywalker Ranch just outside of San Francisco. At the Summit Oracle introduced new analytics products and announced plans to simplify the products and unify them under the Oracle Analytics brand.
Timo Elliott
JANUARY 22, 2019
2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. Embedded analytics accelerates. Cloud analytics adoption skyrockets.
BI-Survey
FEBRUARY 22, 2019
T he proverbial computing troika – the technological trio of cloud, mobile and social computing – is not showing any signs of slowing down. As the results of our study clearly indicate, general awareness of various security analytics technologies is high across all surveyed industries.
BizAcuity
AUGUST 26, 2019
This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Benefits of prescriptive analytics. The casino business is one that is booming quickly.
Smart Data Collective
JUNE 20, 2019
They should use the latest technology to have a competitive edge in the market. New technology has always been at the forefront of the financial industry. The emergence of flash trading is a prime example of a new technology that hurts short term traders. Predictive Analytics
Smart Data Collective
NOVEMBER 14, 2019
They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior. They have developed analytics models to address looming changes in the dynamic industry.
Smart Data Collective
DECEMBER 14, 2019
Predictive analytics is one of the biggest disruptive technologies shaping the eCommerce industry. IQLECT published an article on this last year titled The Importance of Predictive Analytics for E-commerce Stores. Predictive analytics makes it easier to find ever green niches.
Decision Management Solutions
MARCH 11, 2019
Business process management (BPM) and application development teams using rule engines and embedding business logic into the business processes and into the application systems Analytics and data science teams producing data science models and reports to help people make better decisions Management science teams, also called operations research teams, use sophisticated mathematical techniques, such as optimization to find the best available solution in complex decision scenarios.
Cindi Howson
OCTOBER 8, 2018
We held our inaugural Data and Analytics Summit in Mexico City last month. Here’s what I learned about data and analytics from the Mexico perspective. Data and analytics is hot. Data and Analytics once again tops the list of CIO priorities globally and also in Latin America.
Smart Data Collective
MARCH 24, 2020
According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. Many people are debating the impact data technology will have on academia.
Birst BI
JANUARY 16, 2018
If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Birst is driving innovation with broad technology patents.
Jet Global
APRIL 9, 2020
Technology changes are happening everywhere, and government agencies are no different. With the increase in technology purchases and interest in technology across all areas of government, you must be able to support your agency with ROI analysis and audit capabilities.
BI-Survey
NOVEMBER 28, 2018
When it comes to more advanced technologies, however, adoption rates vary dramatically. Breakdown of used technologies across different sectors (N=208). Among the surveyed industries, manufacturing and public sector companies are the slowest to adopt the security analytics technologies.
Mixpanel on Data
DECEMBER 11, 2018
Companies use big data analytics to uncover new and exciting insights in large and varied datasets. These analytical insights help teams make quick, informed decisions and build satisfying products. Big data analytics isn’t a synonym for data science, though the two are often confused.
BizAcuity
MARCH 25, 2019
Revenue Analytics is simple terms can be defined as a set of decisions support tools that help finance and contracting professionals in making informed decisions based on reliable insights. Revenue Analytics in Event Industry – An Overview.
Smart Data Collective
SEPTEMBER 24, 2019
There are a number of ways that big data technology has made the workforce more efficient and fragmented. Companies have an easier time justifying the use of these workers, because new analytics technology helps them assess the ROI. Big data analytics has shown this.
Smart Data Collective
JUNE 12, 2019
The good news is that new machine learning and predictive analytics technology is making it much more secure. Google is taking privacy more seriously these days. Last year, the Washington Post reported that they adopted some new big data security standards.
Jedox
JANUARY 29, 2019
In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting.
Smart Data Collective
FEBRUARY 10, 2020
Technology was more readily available than ever, but big data was not a thing yet. Therefore, they will develop new technologies to achieve these results. You can use big data technology to study more effectively and get more value from your education.
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. People-process-technology speak is no longer enough to traverse the technological landscape.
Sisense
MARCH 16, 2020
We focus all of our energy on creating analytics technology that maximizes the accessibility of data to all. That’s why we’ve teamed up with Google to introduce the Google Sheets Analytics template built by Sisense.
Smart Data Collective
MAY 21, 2019
There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms. Predictive analytics technology is helpful for both.
Birst BI
OCTOBER 30, 2018
Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.”
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. Financial analytics is helping businesses in understanding current and past performance; predict future performance thereby arriving at making smarter decisions. Financial Analytics in Event Management Industry – A summary.
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