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This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. By banking on prescriptive analytics, casinos can not only prepare and plan to take make the most of future opportunities but also avoid and tackle any impending risks and problems. 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
Thought Leadership Artificial Intelligence (AI) Customer Recommendation Customer Success Making AI Real Predictive Analytics technology MORE
A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. Investors taking advantage of predictive analytics could have more success choosing winning IPOs. 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.”. Today, traditional analytics as a component of business intelligence is becoming a thing of the past. In fact, Gartner’s Top 10 Data and Analytics Technology. 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
Top 10 Trends in Data and Analytics, 2020 was our most-read piece of research across Data and Analytics last week, ignoring branded research such as Magic Quadrants etc. The post Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 27) appeared first on Andrew White. MORE
Top 10 Trends in Data and Analytics, 2020 was our most-read piece of research across Data and Analytics last week, ignoring branded research such as Magic Quadrants etc. The post Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 20) appeared first on Andrew White. 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
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
Predictive analytics is revolutionizing the future of cybersecurity. A growing number of digital security experts are using predictive analytics algorithms to improve their risk scoring models. This means that predictive analytics is becoming more important. 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. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. Augmented analytics platforms based on cloud technology and machine learning are breaking down the longest-standing barriers to analytics success. MORE
Artificial intelligence and data analytics are two of the fasting-growing forms of technology for saving money in the world of business. Big data and predictive analytics can be very useful for these nonprofits as well. Nonprofits Discover Countless Benefits of Data Analytics. MORE
Data analytics technology plays an important role in the modern consumer decision-making process. Even consumers looking for an IT provider might turn to data analytics technology. You can use data analytics insights to select a provider much more easily. 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
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. in adoption of newer data and analytic technologies and practices. But others also had deployed modern analytics and BI platforms. 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. Additionally, and importantly, Oracle announced that this was the start of a new era for Oracle Analytics and that this era will be focused on the customer first. 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. The same can be said about predictive analytics. AISHWARYA SINGH from Analytics Vidyha points out that new advances in predictive analytics technology are reshaping financial trading. MORE
T he proverbial computing troika – the technological trio of cloud, mobile and social computing – is not showing any signs of slowing down. The adoption of innovative technologies that create new business models and provide substantial cost savings is going to continue whether IT departments like it or not. As the results of our study clearly indicate, general awareness of various security analytics technologies is high across all surveyed industries. MORE
Many people believe that the biggest benefit of using big data, machine learning and other novel technologies in the contracting profession is that it can help improve the quality of designs. Project managers can use data analytics to identify efficiency issues that can be rectified. 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
WEBCAST: Analytics Through the Lens of Conversational AI. But now, with the advances in AI, it is possible to make the insights from BI and analytics easier to consume, through a conversational interface. Business Intelligence (BI) has always been a valuable aid for decision making. 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. Today’s data analytics solutions offer distributors the ability to sift through mountains of data to discover the gold. Purchase orders were received in person, over the phone, or by way of fax or email. MORE
Jedox Software Thought Leadership Business Intelligence CPM Data Visualization Financial Performance Performance Management Predictive Analytics technologyPlanning, budgeting and reporting isn’t the only function in finance that can be automated and consequently simplified by software solutions. Financial consolidation can also be optimized with the right software tool. MORE
Every organization performing analytics with multiple employees needs to collaborate. They should be collaborating in the analytics process and in communicating the results of those analyses. As I continue my evaluation of analytics and data vendors , I have to admit some disappointment at the level of collaborative capabilities some analytics vendors provide. I had anticipated that three-quarters of analytics vendors would include collaboration capabilities. 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. SAS admits that the predictive analytics technology they have worked on has progressed more slowly than they originally anticipated. What types of approaches do gaming companies use to develop predictive analytics models? 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
Every organization has the agenda to be in step with the industry vis-à-vis technology proficiency and nowadays being Business Analytics savvy. Technology is only an enabler; underpinning business processes and operations are key. 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
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
Data analytics is very important to the future of marketing. A growing number of marketers are using data analytics technology to optimize their lead generation models. One of the most important benefits of using data analytics is that it can improve AI algorithms. 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
A number of manufacturers are relying more on analytics technology to streamline their operations. How much is the manufacturing industry using cloud-technology? One of the biggest ways that big data and cloud technology help with manufacturing is by boosting productivity. 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 technologyPlanning, budgeting and reporting isn’t the only function in finance that can be automated and consequently simplified by software solutions. Financial consolidation can also be optimized with the right software tool.
Speaker: Tom Davenport, President’s Distinguished Professor of Information Technology and Management, Babson College
Join top-ranked analyst and bestselling author of Competing on Analytics, Tom Davenport, to learn how analytics technology provides Financial Services HR professionals with unique insights that create strategic value.
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. Today’s data analytics solutions offer distributors the ability to sift through mountains of data to discover the gold. Purchase orders were received in person, over the phone, or by way of fax or email.
Teradata
JULY 23, 2019
Large enterprises are investing heavily in cloud-based analytics technologies. What qualities should they be looking for in these cloud vendors? Find out more
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.
Advertiser: Jinfonet
Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.
DataFloq
FEBRUARY 9, 2021
Every organization has the agenda to be in step with the industry vis-à-vis technology proficiency and nowadays being Business Analytics savvy. Technology is only an enabler; underpinning business processes and operations are key.
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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, […].
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.”. Today, traditional analytics as a component of business intelligence is becoming a thing of the past. In fact, Gartner’s Top 10 Data and Analytics Technology.
Andrew White
SEPTEMBER 28, 2020
Top 10 Trends in Data and Analytics, 2020 was our most-read piece of research across Data and Analytics last week, ignoring branded research such as Magic Quadrants etc. The post Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 27) appeared first on Andrew White.
Andrew White
SEPTEMBER 22, 2020
Top 10 Trends in Data and Analytics, 2020 was our most-read piece of research across Data and Analytics last week, ignoring branded research such as Magic Quadrants etc. The post Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 20) appeared first on Andrew White.
Smart Data Collective
MARCH 28, 2021
Many people believe that the biggest benefit of using big data, machine learning and other novel technologies in the contracting profession is that it can help improve the quality of designs. Project managers can use data analytics to identify efficiency issues that can be rectified.
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 […].
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.
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.
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.
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
bridgei2i
JANUARY 19, 2021
WEBCAST: Analytics Through the Lens of Conversational AI. But now, with the advances in AI, it is possible to make the insights from BI and analytics easier to consume, through a conversational interface. Business Intelligence (BI) has always been a valuable aid for decision making.
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.
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.
Smart Data Collective
AUGUST 30, 2020
Predictive analytics is revolutionizing the future of cybersecurity. A growing number of digital security experts are using predictive analytics algorithms to improve their risk scoring models. This means that predictive analytics is becoming more important.
Smart Data Collective
AUGUST 26, 2020
Data analytics technology plays an important role in the modern consumer decision-making process. Even consumers looking for an IT provider might turn to data analytics technology. You can use data analytics insights to select a provider much more easily.
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. Additionally, and importantly, Oracle announced that this was the start of a new era for Oracle Analytics and that this era will be focused on the customer first.
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.
Smart Data Collective
FEBRUARY 21, 2021
Data analytics is very important to the future of marketing. A growing number of marketers are using data analytics technology to optimize their lead generation models. One of the most important benefits of using data analytics is that it can improve AI algorithms.
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.
Smart Data Collective
NOVEMBER 13, 2020
Artificial intelligence and data analytics are two of the fasting-growing forms of technology for saving money in the world of business. Big data and predictive analytics can be very useful for these nonprofits as well. Nonprofits Discover Countless Benefits of Data Analytics.
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. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. By banking on prescriptive analytics, casinos can not only prepare and plan to take make the most of future opportunities but also avoid and tackle any impending risks and problems.
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. SAS admits that the predictive analytics technology they have worked on has progressed more slowly than they originally anticipated. What types of approaches do gaming companies use to develop predictive analytics models?
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. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. Augmented analytics platforms based on cloud technology and machine learning are breaking down the longest-standing barriers to analytics success.
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. The same can be said about predictive analytics. AISHWARYA SINGH from Analytics Vidyha points out that new advances in predictive analytics technology are reshaping financial trading.
Smart Data Collective
JANUARY 14, 2021
A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. Investors taking advantage of predictive analytics could have more success choosing winning IPOs.
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. The adoption of innovative technologies that create new business models and provide substantial cost savings is going to continue whether IT departments like it or not. As the results of our study clearly indicate, general awareness of various security analytics technologies is high across all surveyed industries.
Smart Data Collective
JANUARY 11, 2021
A number of manufacturers are relying more on analytics technology to streamline their operations. How much is the manufacturing industry using cloud-technology? One of the biggest ways that big data and cloud technology help with manufacturing is by boosting productivity.
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.
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. in adoption of newer data and analytic technologies and practices. But others also had deployed modern analytics and BI platforms.
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