As any line of business (LOB) leader knows, making customer level decisions that balance risk and profit just keeps getting harder. And even when you think you have the right decisions, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them.
The unifying concept that defines FICO and its substantial technology and solutions stack is Decision Management. This term has not yet become mainstream - but it will. All business analytics activities are performed with the single aim of improving the accuracy and efficiency of business decisions. This applies to business intelligence, data visualization, data mining, business rules management, and many other forms of analysis. Unifying these activities under a single discipline means that currently fragmented analytical efforts can be combined into a single whole, with benefits that will be discussed in this review.
As consumers, we’re all having more experiences that seem almost magical:
You’re in a mall when suddenly your smartphone beeps. It’s an offer for 20% off a pair of shoes you’ve been looking at online — from the store you just walked past!
As business people, we know it’s not magic, but rather analytics powering these outstanding customer experiences.
Analytics have evolved to the point where they answer an expanding range of useful questions. But understanding the different types of analytics – descriptive, diagnostic, predictive and prescriptive - and how to use them in your business can be challenging.
Download the eBook to learn about the least understood – yet most powerful – tool in the analytic arsenal.
Prescriptive analytics enable you to estimate and compare the likely outcomes of any number of actions, and choose the very best action to advance business objectives. Getting there isn’t as difficult as you think.
Start your journey. Download the eBook today.
The Magic Quadrant reflects the substantial difference among software suppliers' customer support applications. Great diligence must be shown by IT leaders working on customer service projects. Weaknesses remain in providing cross-channel persistence of experience and embedded real-time analytics.
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems.
Ask any cybersecurity professional and she’ll tell you that her job is getting increasingly difficult. Why? Most will point to a combination of the dangerous threat landscape, IT complexity, and their overwhelming workload. These issues are driving a major transition in enterprise security. Large organizations must move beyond a threat prevention mentality to
become proactive cyber-¬-attack “hunters” that constantly monitor their networks for signs of trouble. This shift to proactive hunting will require new technologies that collect, process, and analyze massive amounts of security data, offer intelligent security analytics for real-¬-time incident detection, integrate threat intelligence to align suspicious internal activities with
external threats, and provide analysts with the right data analytics features to query and manipulate data for historical investigations.
Business intelligence and analytics leaders must re-evaluate and evolve the capabilities of their teams to ensure that they can leverage bimodal work practices to engage, communicate and adapt to new developments in business analytics, including diagnostic and predictive analytics.
Data discovery appeals strongly to business users, but some business intelligence leaders are reluctant to ensure adoption. Data discovery is filling the gap between traditional BI and advanced analytics, and this research explains why and how BI leaders should support its use.
Published By: Uberflip
Published Date: Jun 30, 2017
In this eBook, you will learn how implementing the right processes and tools to gather analytics, implement scoring, prove ROI, and create comprehensive reports on your content marketing efforts will provide the insight you need to make data-driven decisions. In turn, these decisions won’t just improve your content marketing performance, but will also allow you to meet your overarching business objectives.
Download the free A to Z eBook to learn more about data security, employee productivity, IT Support and cost. Also, see how the competition measures up against Office 365.
Here are a few must-knows when it comes to Office 365:
Data compliance out of the box. Built-in security and privacy features; meets key industry standards and supports FERPA, HIPPAA and EU.
Online or offline across all devices. Whether you are in the office or on the go, Office applications let you create, edit and share from your PC/MAC or your iOS, Android™ or Windows device with anyone in real time.
Work off a single platform and eliminate third-party apps. With our suite of apps, such as Enterprise Content Management, Cloud PBX, and Microsoft MyAnalytics, you can trust that a single vendor is providing you the tools you need to get work done.
Managing state government often requires impassioned debate about the best way to allocate resources, deliver services to citizens and build budgets that reflect elected leaders’ and citizens’ priorities. The State of Indiana is bringing data-driven insights to these discussions through its use of analytics.
Indiana's Management and Performance Hub (MPH) program has developed a comprehensive, enterprise-wide, data-driven management system to help gain insight into the drug abuse crisis. Indiana MPH staff is tackling the issue using crime lab drug data from across the state to see new correlations in drug use over time and find insight into crime.
"The market buzz around APIs has distorted executive's thought processes about how to make money from APIs. Our guest speaker, Forrester analyst Randy Heffner, will tell the real truth about how to drive value from APIs. Who Should Read/View This webcast: business audience
Attend to also learn how to:
Provide business users with real-time information for more informed decision making
Leverage the latest cloud, mobile, and analytics enhancements in IIB v10
Use the IIB Healthcare Pack to accelerate development and deployment of integration solutions
Who Should Attend this Webcast: business audience"
This white paper takes a look at the current challenges that many
organizations face in addressing this growing need. It examines the
different types of users and stakeholders who need or want more
self-service, and lays out four factors that are critical to realizing the
full potential of self-service analytics.
By modeling, analyzing, and improving their existing processes, Colorado-based, Elevations Credit Union has been able to drive out inefficiencies and increase their revenues by delighting their customers. IBM Blueworks Live is the tool that’s been at the heart of Elevations gaining visibility and insight into their existing processes, and helping them drive cross-enterprise engagement and viral cultural change.
What is the total economic impact of IBM Datacap? This Forrester paper examines the total economic impact and potential ROI that enterprises may realize and provides a framework for how to measure financial impact in their organizations.
As most companies now realize, analytics is increasingly more of an integral part of their day-to-day business operations. In a recent survey by a global research firm, 80% of CIOs stated that transition from backward-looking, passive analysis must shift to forward-looking predictive analytics. The challenge is that many analytic solutions are aligned to a specific platform, tied to inflexible programming models and requiring vast data movement. In this webcast, Forrester and experts from IBM will highlight how technology like Apache Spark on z/OS allows businesses to extract deep customer insight without the cost, latency and security risks of data movement throughout the enterprise.