Published By: Aberdeen
Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
The data maturity curve
As companies invest more and more in data access and
organization, business leaders seek ways to extract more
business value from their organization’s data.
92 percent of business leaders say that to compete in the future,
their organization must be able to exploit information much more
quickly than it can today.1
Chief Information Officers (CIO) need solutions that will allow
them to evolve their organization’s approach to data and drive real
value with strategic decisions. This journey can be depicted in
a data maturity curve.
While it is easy for marketers to be distracted by the power of data and technology, a new report reminds us what really drives business decisions: feelings. A new study conducted by the Financial Times Commercial Insight Group and gyro asked more than 300 FT readers across the globe to express what feelings are crucial for creating successful business relationships.
The role of FP&A professionals during the first two weeks of the month entails rushing for month closure, gathering data sets, reports, and scrutinizing, processing and analyzing data in Excel workbooks in discussion with the top management. Increasing revenues, optimizing costs, and aligning with the overall business strategy are a few familiar goals laid down for financial planning and analysis (FP&A) professionals. These goals trickle down from finance leaders who are under constant pressure to provide accurate and timely reporting and analysis to support effective decision making. Read on to know how can digitizing FP&A help the finance team to make more robust decisions and be a key part of the finance transformation.
The things we buy increasingly reflect who we are. Apparel resale is big business. The rise of the pop-up outlet continues. And people are making more ethical or sustainable purchasing decisions.
Download this info-graphic now to learn how retailers are evolving and how tools like Workplace by Facebook can help them keep ahead of the competition.
Think you can’t afford flash?
Think again. If you’re looking to make a primary storage investment in the near future, you can’t afford not to consider an
all-flash or converged flash array. HPE offers the only architecture on the market that is flash-optimized without being flash-limited—so you won’t have to make business-limiting decisions when it comes to implementing flash, such as inserting a new silo into your environment or undergoing painful hardware rip-and-replace.
Published By: Zendesk
Published Date: Dec 03, 2018
Customer service metrics help us track how well we perform in our primary customer service mission—achieving and maintaining high customer satisfaction.
To achieve this mission, we need data to understand our operations and the customer experience. Fortunately, lots of data is available these days.
All the metrics for measuring this data are valuable, but which ones do we rely on to effectively measure our success and guarantee that we’re making smart business decisions? Which metrics make the difference when it comes to ensuring customer satisfaction? We’ve created this guide to help your business find those answers.
Published By: Red Hat
Published Date: Aug 22, 2018
Digital transformation projects present many technological and organizational challenges. A key
challenge is developing modern, cloud-native applications that connect customers directly using
automated business processes and decisions. Creating these applications requires a radical change
in how software is built—moving away from traditional, IT-led software development to a process
that lets both developers and business experts contribute directly to application logic.
Modern organizations are expanding mobility initiatives across virtually every business function. According to Cisco’s 2015 Mobility Landscape Survey, 72 percent of business leaders believe mobility is a strategic imperative for their organization’s success. In fact, in many businesses today, line-of-business (LoB) leaders are increasingly funding and making decisions about mobile applications and solutions.
What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
Consider the many ways that a customer encounters your brand – organic results on a search engine, display media campaigns, social media links, re-targeting on external sites, etc. One thing is certain – consumer journeys are far from linear. They can occur across multiple platforms, devices and browsers. The problem is that organizations are often constrained to channel-limiting decisions regarding their media investment allocations.
Marketing attribution helps you analyze the impact and business value of company-generated marketing interactions to help make the best marketing investment decisions. The challenge is to interpret the massive volumes of customer data that continues to expand day by day.
When determining which investments to make in their technology infrastructure, organizations will often choose to make no changes at all. While this decision avoids short-term costs and business disruption, it often simply delays the inevitable—even making it worse.
The cost of doing nothing is expensive in the long term. This report—from the independent researchers at Aberdeen Group—outlines the reasons distributors choose not to upgrade enterprise resource planning (ERP) software and cautions against this approach, supplying detailed research that illustrates the benefits of keeping your systems current.
Download this report to learn how a new or improved ERP system can help get you the information you need to make informed decisions and act more efficiently, improving overall company performance.
More than ever, businesses are considering a cloud solution for their enterprise resource planning (ERP) deployment over an on-premises system. Cloud technology appeals to these companies because updates and fixes occur automatically with little or no effort from internal IT staff, and because cloud-based solutions provide access to real-time data from anywhere. Employees want tools that make it easier for them to complete everyday tasks and make informed decisions that help the business grow.
Aberdeen’s research report, “Top Performers Know It’s Time to Migrate to Cloud ERP: Here’s Why and How,” uncovers the reasons successful companies are choosing cloud over on-premises ERP models. Download this SmartBite for a quick look at the report’s highlights.
Imagine an environment where business decisions drive application choices and policy, with no regard for infrastructure, where best practices are implemented based solely on business requirements—and a “guaranteed service level” means just that. The IT of the future will be an elaborate business operation unencumbered by past technology decisions, one capable of providing exact service levels to multiple constituencies while continually optimizing costs.
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time.
This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
Published By: DataStax
Published Date: Mar 10, 2017
Banks are at an inflection point. According to a recent research by Viacom, 1 in every 3 U.S. consumers are open to switching banks in the next 90 days. Financial services companies need to break through the competition to gain customer trust and loyalty. Building a 360° view of the customer can help banks grow customer retention and loyalty, upsell high margin products and provide compelling interactions. However, this is no easy task as complexity increases when retail banks engage their customers across multiple channels and financial products.
Gaining visibility into every customer interaction, across your business silos, and with every engagement channel is critical to making the right decisions to deliver amazing customer experiences. This white paper examines the challenges Financial Services Institutions (FSIs) face when building a 360° view of the customer to transform their customer experience and how to overcome them.
Published By: Oracle CX
Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s
databases, accessing and using the right information at the right time has
become increasingly critical. Real-time access and analysis of operational
data is key to making faster and better business decisions, providing
enterprises with unique competitive advantages. Running analytics on
operational data has been difficult because operational data is stored in row
format, which is best for online transaction processing (OLTP) databases,
while storing data in column format is much better for analytics processing.
Therefore, companies normally have both an operational database with data
in row format and a separate data warehouse with data in column format,
which leads to reliance on “stale data” for business decisions. With Oracle’s
Database In-Memory and Oracle servers based on the SPARC S7 and
SPARC M7 processors companies can now store data in memory in both
row and data formats, and run analytics on their operatio
Published By: Oracle CX
Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been
top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar
database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as
quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data
from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure
1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP
database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks
can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data.
In-memory databases have helped address p
Published By: Infosys
Published Date: May 30, 2018
Enterprises often accord the lowest priority for modernizing systems running business-critical applications, for fear of disruption of business as well as the time it would take for the new system to stabilize and come up to speed.
A large telecom company had the same fears when they decided to modernize the reporting data warehouse which produced reports critical for making business decisions. See how Infosys helped and the five key takeaways from the project.
The term “Cloud First” was initially popularized by Vivek Kundra, who formerly held the post of White House CIO and launched this strategy for U.S. federal government IT modernization at the Cloud Security Alliance Summit 2011. The underlying philosophy of the cloud-first strategy is that organizations must initially evaluate the suitability of cloud computing to address emergent business requirements before other alternatives are considered.
This paper offers guidance to help organizations establish a systematic and repeatable process for implementing a cloud-first strategy. It offers a high-level framework for identifying the right
stakeholders and engaging with them at the right time to reduce the risk, liabilities, and inefficiencies that organizations can experience as a result of adhoc cloud decisions. The goal of this guidance is to help ensure that any new cloud program is secure,
compliant, efficient, and successfully implements the organization’s key business initiatives.
Published By: Preempt
Published Date: Nov 02, 2018
Enterprises and the threats that target them have all fundamentally evolved over the past decade. In response, the security industry has generated an enormous amount of point solutions and technologies to try and keep pace. However, for all of this innovation and change, the underlying enforcement architecture has remained largely unchanged.
A new modern approach to preempting threats is required. One that augments the existing architecture instead of replaces it. This new approach brings full enterprise and business context to real-time enforcement decisions. Identity, behavior, devices, anomalies, and risk all play a real-time role. Just as importantly, enforcement and access options can be graded based on the risk to the business, and policies can actively seek out and adapt to new information.
Published By: MobileIron
Published Date: Feb 17, 2015
Ready or not, the global mobility trend is forcing enterprises to enable a mobile workforce with business productivity tools on any device, regardless of the underlying operating system. As IT is quickly impacted by end-user technology decisions, enterprises can no longer ignore this reality, especially given the explosive global demand for mobile devices. This guide offers practical, step-by-step insight that can help any organization accelerate their journey to becoming a Mobile First enterprise by providing a detailed, best-practice deployment process and recommendations for finding the right enterprise mobility management (EMM) provider.
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics.
To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
Published By: Bloomberg
Published Date: Jun 11, 2012
Bloomberg Government (BGOV) is a unique online service that helps business and government leaders understand the business impact of government actions through a combination of in-depth analysis, best-in-class data, analytical tools, and award winning journalism, enabling better decisions. bgov.com
Published By: Dell EMC
Published Date: Aug 17, 2017
For many companies the appeal of the public cloud is very real. For tech startups, the cloud may be their
only option, since many don’t have the capital or expertise to build and operate the IT systems their
businesses need. Existing companies with established data centers are also looking at public clouds, to
increase IT agility while limiting risk. The idea of building-out their production capacity while possibly
reducing the costs attached to that infrastructure can be attractive. For most companies the cloud isn’t
an “either-or” decision, but an operating model to be evaluated along with on-site infrastructure. And
like most infrastructure decisions the question of cost is certainly a consideration.
In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with
a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged
appliance cluster and the cloud solution is Amazon Web Services (AWS).