Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Forrester's Customer Insights

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!

Proven AI solutions for modern planning


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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Data integration: The key to AI-supported planning systems


Thought Leadership Artificial Intelligence (AI) Customer Recommendation Customer Success Making AI Real Predictive Analytics technology

How a modern software solution facilitates financial consolidation


Jedox Software Thought Leadership Business Intelligence CPM Data Visualization Financial Performance Performance Management Predictive Analytics technology

Brittleness, Murphy?s Law, and single-impetus failures


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.

Brittleness and incremental improvement


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.

Simple data discovery for distributors


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.

Can analytics help keep students from dropping out of school?

IBM Big Data Hub

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

How Is Big Data Analytics Adding A New Frontier To Ecommerce Space?


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.

AI and the Future of Business Intelligence


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.”.

How To Manage The Risks Within Enterprise Analytics


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.

Risk 190

Open Source: A primer for Big Data

DSI Analytics

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, […].

Data Analytics Is Vital To Digital Marketing Training During Pandemic

Smart Data Collective

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.

Three Critical Success Factors in Building an Analytic Enterprise

Decision Management Solutions

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.

Useful Big Data: The Fastest Way

DSI Analytics

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 […].

Augmented Data Discovery Makes Advanced Analytics Easy!


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.

A Use Case For Business Intelligence Vs. Text Analytics Tools

Forrester's Customer Insights

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.

Predictive Analytics Solutions Bolster Crypto Trading Security in 2019

Smart Data Collective

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.

Analytics Democratization Continues As KXEN Finds A New Home

Srividya Sridharan

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

Oracle Analytics Summit 2019 – Making It Easy for the Customer

Perficient Data & Analytics

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.

Top 10 Analytics Trends for 2019

Timo Elliott

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.

Data privacy perceived as the biggest obstacle to deploying security analytics solutions


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.

Prescriptive Analytics – a Winning Bet for Casinos


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.

Predictive Analytics Asset Valuations: New Opportunities or the Start of Another Futures Bubble?

Smart Data Collective

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

Predictive Analytics Is Reshaping UX In The Global Gaming Industry

Smart Data Collective

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.

Is Predictive Analytics Revealing Unexplored eCommerce Niches?

Smart Data Collective

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.

Gartner Analyst’s Take on Decision Management: What It Is and Why You Need It

Decision Management Solutions

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.

Data and Analytics from a Mexico Perspective

Cindi Howson

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.

The Incredibly Important Role Of Big Data In Academia

Smart Data Collective

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.

AI+BI: Augmented analytics will soon bring data-driven insight to the masses

Birst BI

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.

How the Right Solution Can Help Tame the Government Agency Data Challenge

Jet Global

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.

Traditional security with a universally high adoption across all sectors


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.

What is Big Data Analytics?

Mixpanel on Data

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.

An Overview of Revenue Analytics for Event Industry


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.

Surprising Big Data Advances Unveil Opportunities With Remote Work

Smart Data Collective

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.

4 Brilliant Ways To Use Big Data To Boost Gmail Security

Smart Data Collective

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.

Automated Sales Forecasting with Predictive Analytics Making AI Real (Part 4)


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.

Big Data Technology Is Crucial To Your Educational Pursuits

Smart Data Collective

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.

How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics


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.

The Wide World of Data: Enter the Datasphere


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.

Big Data Offers New Solutions for Disaster Mitigation Planning

Smart Data Collective

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.

Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

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.”

The Intricacies of Financial Analytics in the Event Industry


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.