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. 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
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.”. 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
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
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
Daniel pointed out that this is an important application for predictive analytics. Traders that use predictive analytics tools strategically can have a huge edge against the competition. They should leverage machine learning technology to their full advantage. MORE
Analytics technology is becoming integral to the field of finance. The market for financial analytics services is projected to be worth over $11 billion within the next five years. Analytics is particularly important for developing strategic financial management policies. 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
Analytics technology has become a very important part of the product development process. If you are serious about starting a successful product-based business, then you need to use analytics technology to help make sure that your business model is successful. For you not to lose everything you work on or to enter the market quickly, it is good to use special tools that have a variety of analytics capabilities built into them. MORE
Many industries are benefiting from changes in data analytics. Call center analytics is changing the industry immensely. However, data analytics isn’t guaranteed to solve all call center challenges without the right strategy in place. MORE
Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). MORE
Data analytics technology has been very beneficial for many consumers around the world. You can use data mining and analytics technology to make more informed decisions about purchases that you intend to make. Data analytics technology can be very helpful here. 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
Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes. 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
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
New advances in data analytics and a wealth of outsourcing opportunities have contributed. Shrewd software developers are finding ways to integrate data analytics technology into their outsourcing strategies. Use data analytics to improve Agile management. 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
The financial analytics market was worth an estimated $6.7 Big data technology keeps reshaping the business landscape and companies have started realizing the importance of using data and analytics in their decision-making processes. Use Data Analytics to Increase Knowledge. 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
Data analytics has dramatically upended our lives. One of the biggest implications of data analytics technology in the 21st Century is that it has led to a number of new cybersecurity solutions. Cybersecurity analytics is helping address these concerns. MORE
Analytics Technologies Related Topics Decision Management Solutions
JUNE 4, 2021
Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI).
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!
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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.
Jedox
FEBRUARY 20, 2020
Thought Leadership Artificial Intelligence (AI) Customer Recommendation Customer Success Making AI Real Predictive Analytics technology
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.
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.
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.
David Menninger's Analyst Perspectives
OCTOBER 29, 2020
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.
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
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
JULY 5, 2021
Daniel pointed out that this is an important application for predictive analytics. Traders that use predictive analytics tools strategically can have a huge edge against the competition. They should leverage machine learning technology to their full advantage.
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Smart Data Collective
JULY 19, 2021
Data analytics technology has been very beneficial for many consumers around the world. You can use data mining and analytics technology to make more informed decisions about purchases that you intend to make. Data analytics technology can be very helpful here.
Smart Data Collective
JUNE 3, 2021
Analytics technology is becoming integral to the field of finance. The market for financial analytics services is projected to be worth over $11 billion within the next five years. Analytics is particularly important for developing strategic financial management policies.
Smart Data Collective
JULY 9, 2021
Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes.
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
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.
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
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.
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.
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.
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.
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 […].
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.
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
JUNE 24, 2021
Data analytics has dramatically upended our lives. One of the biggest implications of data analytics technology in the 21st Century is that it has led to a number of new cybersecurity solutions. Cybersecurity analytics is helping address these concerns.
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
Smart Data Collective
JUNE 16, 2021
Many industries are benefiting from changes in data analytics. Call center analytics is changing the industry immensely. However, data analytics isn’t guaranteed to solve all call center challenges without the right strategy in place.
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.
Smart Data Collective
MAY 21, 2021
New advances in data analytics and a wealth of outsourcing opportunities have contributed. Shrewd software developers are finding ways to integrate data analytics technology into their outsourcing strategies. Use data analytics to improve Agile management.
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.
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
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.
Smart Data Collective
JULY 12, 2021
The financial analytics market was worth an estimated $6.7 Big data technology keeps reshaping the business landscape and companies have started realizing the importance of using data and analytics in their decision-making processes. Use Data Analytics to Increase Knowledge.
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
JUNE 4, 2021
Analytics technology has become a very important part of the product development process. If you are serious about starting a successful product-based business, then you need to use analytics technology to help make sure that your business model is successful. For you not to lose everything you work on or to enter the market quickly, it is good to use special tools that have a variety of analytics capabilities built into them.
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.
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.
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.
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.
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.
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