Data-Driven Talent Strategy: Bridging the Capability Gap in People AnalyticsAmelia Green
Companies that develop successful people analytics frameworks outperform their competitors in quality of hires, retention levels, leadership pipelines and several other key performance metrics
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
Data can be your key strategic asset for long-term growth. Just as the "quantified self" builds awareness of progress toward health, your comprehensive data strategy can help you lead your industry.
Data-Driven Talent Strategy: Bridging the Capability Gap in People AnalyticsAmelia Green
Companies that develop successful people analytics frameworks outperform their competitors in quality of hires, retention levels, leadership pipelines and several other key performance metrics
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
Data can be your key strategic asset for long-term growth. Just as the "quantified self" builds awareness of progress toward health, your comprehensive data strategy can help you lead your industry.
We conducted a ground-breaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
Gramener is always on the lookout for talent who like to work with numbers and aspire to be the Algorithm Translators.
This deck is presented to cohorts at IIM's and other B School as part of Gramener company overview session.
7 Steps for Applying Big Data Patterns to Decision MakingWiley
Learn to apply big data patterns to decision-making in order to make better decisions, design a new business model, or redesign current business processes.
This webinar was hosted by Gramener's CEO/Co-Founder, Anand S, and Ganes Kesari, Head of Analytics/Co-Founder on how data can help firms recover quickly throughout the recession and recovery period.
Who should watch this webinar :
Analytics Leaders, Business Leaders, CDOs, CTOs, etc.
Few takeaways :
-Which aspects of your company could benefit the most from a data-driven response?
-A strategy for identifying use cases that will provide the most value for the money.
How to use data in creative ways to uncover new market opportunities and customers.
Objectives :
-Data's utility in COVID situation
-How data science may assist you in navigating the recession
-Gramener's industry case studies to assist businesses in responding to COVID-19
Full Webinar: https://info.gramener.com/recession-proofing-your-business-with-data
To know more from industry leaders visit our official website: https://gramener.com/
This presentation provides a "first hand" look at how PR and marketing pros can raise their brand awareness by using Big Data and predictive analytics.
Marketing Data Renovators Guide: 10 Steps to Prime Your B2B Database for Anal...Shelly Lucas
What do a fixer-upper and your marketing database have in common? More than you think. Learn 10 clear steps for making your database analytics-ready in this e-book.
Here in a single document is a compilation of my learnings and observations working with real customers over the past couple of years. My thought in consolidating these posts from LinkedIn was to provide an easy hyperlinked reference for leaders interested in breaking through the clutter to learn ways to leverage data for competitive advantage into 2017 and beyond.
Solving Stagnated Business Growth with Data MiningAndrew Leo
In today's data-driven world, leveraging insights from vast datasets can propel your business to new heights. From enhancing customer experiences to optimizing decision-making, data mining offers endless opportunities for growth and innovation.
Key benefits of data mining include:
Personalized customer experiences
Improved decision-making
New business models
Enhanced efficiency
Stronger cybersecurity
Achieving social goals
Discover how data mining can transform your sales strategies, marketing campaigns, healthcare services, customer service, HR management, fraud detection, and manufacturing processes.
Curious to learn more? Check out our comprehensive guide on how data mining can help solve stagnated business growth.
Ready to harness the power of data mining for your business? Let's connect and explore the possibilities.
Driving A Data-Centric Culture: A Bottom Up OpportunityPlatfora
Big data has captured the attention of business leaders in almost every industry. Building big-data capabilities has found its place on the corporate agenda, and leading companies are moving forward on promoting a data-centric culture.
Most data-driven companies are focused on the leadership challenge of inspiring this cultural shift. To date, however, little has been said about the role of middle management and lower-level employees in spreading and institutionalizing a data-centric culture.
Business it and labor strategy infrastructure enhancements to achieve corpora...David Bustin
This is a research paper addressing the financial advantage of properly leveraging IT products and staffing strategies for reducing operating costs.
David Bustin
We conducted a ground-breaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
Gramener is always on the lookout for talent who like to work with numbers and aspire to be the Algorithm Translators.
This deck is presented to cohorts at IIM's and other B School as part of Gramener company overview session.
7 Steps for Applying Big Data Patterns to Decision MakingWiley
Learn to apply big data patterns to decision-making in order to make better decisions, design a new business model, or redesign current business processes.
This webinar was hosted by Gramener's CEO/Co-Founder, Anand S, and Ganes Kesari, Head of Analytics/Co-Founder on how data can help firms recover quickly throughout the recession and recovery period.
Who should watch this webinar :
Analytics Leaders, Business Leaders, CDOs, CTOs, etc.
Few takeaways :
-Which aspects of your company could benefit the most from a data-driven response?
-A strategy for identifying use cases that will provide the most value for the money.
How to use data in creative ways to uncover new market opportunities and customers.
Objectives :
-Data's utility in COVID situation
-How data science may assist you in navigating the recession
-Gramener's industry case studies to assist businesses in responding to COVID-19
Full Webinar: https://info.gramener.com/recession-proofing-your-business-with-data
To know more from industry leaders visit our official website: https://gramener.com/
This presentation provides a "first hand" look at how PR and marketing pros can raise their brand awareness by using Big Data and predictive analytics.
Marketing Data Renovators Guide: 10 Steps to Prime Your B2B Database for Anal...Shelly Lucas
What do a fixer-upper and your marketing database have in common? More than you think. Learn 10 clear steps for making your database analytics-ready in this e-book.
Here in a single document is a compilation of my learnings and observations working with real customers over the past couple of years. My thought in consolidating these posts from LinkedIn was to provide an easy hyperlinked reference for leaders interested in breaking through the clutter to learn ways to leverage data for competitive advantage into 2017 and beyond.
Solving Stagnated Business Growth with Data MiningAndrew Leo
In today's data-driven world, leveraging insights from vast datasets can propel your business to new heights. From enhancing customer experiences to optimizing decision-making, data mining offers endless opportunities for growth and innovation.
Key benefits of data mining include:
Personalized customer experiences
Improved decision-making
New business models
Enhanced efficiency
Stronger cybersecurity
Achieving social goals
Discover how data mining can transform your sales strategies, marketing campaigns, healthcare services, customer service, HR management, fraud detection, and manufacturing processes.
Curious to learn more? Check out our comprehensive guide on how data mining can help solve stagnated business growth.
Ready to harness the power of data mining for your business? Let's connect and explore the possibilities.
Driving A Data-Centric Culture: A Bottom Up OpportunityPlatfora
Big data has captured the attention of business leaders in almost every industry. Building big-data capabilities has found its place on the corporate agenda, and leading companies are moving forward on promoting a data-centric culture.
Most data-driven companies are focused on the leadership challenge of inspiring this cultural shift. To date, however, little has been said about the role of middle management and lower-level employees in spreading and institutionalizing a data-centric culture.
Business it and labor strategy infrastructure enhancements to achieve corpora...David Bustin
This is a research paper addressing the financial advantage of properly leveraging IT products and staffing strategies for reducing operating costs.
David Bustin
Leading enterprise-scale big data business outcomesGuy Pearce
A talk specially prepared for McMaster University. There is more benefit to thinking about big data as a paradigm rather than as a technology, as it helps shape these projects in the context of resolving some of the enterprise's greatest challenges, including its competitive positioning. This approach integrates the operating model, the business model and the strategy in the solution, which improves the ability of the project to actually deliver its intended value. I support this position with a case study that created audited financial value for a major global bank.
Driving A Data-Centric Culture: The Leadership ChallengePlatfora
Embracing data as a corporate asset—and a source of competitive advantage—is not just a “good idea” that companies should consider. Such adoption will help determine the winners and losers across multiple markets and industries in the future.
In the last couple of years, corporate focus has shifted: first, from investing in the right technology and tools; then to acquiring the right talent and skills; and now to building the right organizational culture that can realize the business value of powerful big-data analytic tools.
Most organizations today are still focused on putting in place the right technology and talent, but others have evolved further and are working toward fostering a data-centric corporate culture.
Data science skills are necessary for entrepreneurs today, irrespective of their job title. Know why data science skills are important for entrepreneurs.
The data management procedure employed by your firm is capable of building your brand or breaking it all over. So, be wise in choosing the right strategy.
Big & Fast Data: The Democratization of InformationCapgemini
Moving from the Enterprise Data Warehouse to the Business Data Lake
Is it possible that ubiquitous analytics represents the next phase of the information age? New business models are emerging, enabled by big data that business leaders are eager to adopt in order to gain advantage and mitigate disruption from start-ups and parallel industries. The winners are likely to be those that master a cultural shift as well as a technology evolution.
Our view is this will be realized through the alignment of a business-centric big data strategy, combined with democratization of the analytical tools, platforms and data lakes that will enable business stakeholders to create, industrialize and integrate insights into their business processes.
Innovative approaches are needed to free up data from silos whilst encouraging both the sharing and the continuous improvement of insights across the business. While it will be evolution for some, revolution for others; the risk of status quo is not just the loss of opportunity but also a widening gap between business and the internal technology functions.
https://www.capgemini.com/thought-leadership/big-fast-data-the-democratization-of-information
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
Marketing & SalesBig Data, Analytics, and the Future of .docxalfredacavx97
Marketing & Sales
Big Data, Analytics,
and the Future of
Marketing & Sales
March 2015
3McKinseyonMarketingandSales.com @McK_MktgSales
Table of contents
Business
Opportunities
Insight and
action
How to get
organized and
get started
8 Getting big impact from big
data
16 Big Data & advanced
analytics: Success stories
from the front lines
20 Use Big Data to find
new micromarkets
24 Smart analytics: How
marketing drives short-term
and long-term growth
30 Putting Big Data and
advanced analytics to work
34 Know your customers
wherever they are
38 Using marketing analytics to
drive superior growth
48 How leading retailers turn
insights into profits
56 Five steps to squeeze more
ROI from your marketing
60 Using Big Data to make
better pricing decisions
60 Marketing’s age of relevance 72 Gilt Groupe: Using Big Data,
mobile, and social media to
reinvent shopping
76 Under the retail microscope:
Seeing your customers for
the first time
80 Name your price: The power
of Big Data and analytics
84 Getting beyond the buzz: Is
your social media working?
90 How to get the most from big
data
94 Five Roles You Need on Your
Big Data Team
98 Want big data sales programs
to work? Get emotional
102 Get started with Big Data:
Tie strategy to performance
106 What you need to make Big
Data work: The pencil
110 Need for speed: Algorithmic
marketing and customer
data overload
114 Simplify Big Data – or it’ll be
useless for sales
54 McKinseyonMarketingandSales.com @McK_MktgSales
Introduction
Big Data is the biggest hame-changing opportunity for marketing and sales
since the Internet went mainstream almost 20 years ago. The data big bang
has unleashed torrents of terabytes about everything from customer behaviors
to weather patterns to demographic consumer shifts in emerging markets.
The companies who are successful in turning data into above-market growth
will excel at three things:
ƒ Using analytics to identify valuable business opportunities from the data to
drive decisions and improve marketing return on investment (MROI)
ƒ Turning those insights into well-designed products and offers that delight
customers
ƒ Delivering those products and offers effectively to the marketplace.
This goldmine of data represents a pivot-point moment for marketing and
sales leaders. Companies that inject big data and analytics into their operation
show productivity rates and profitability that are 5 percent to 6 percent hight
than those of their peers. That’s an advantage no company can afford to
gnome.
This compendium explores the business opportunities, company examples,
and organizational implications of Big Data and advanced analytics. We hope
it provokes good and useful conversations.
Please contact us with your reactions and thoughts.
David Court
Director
David headed McKinsey’s
functional practices, and
currently leads the firm’s digital
in.
From Information Overload to Organized InsightsLexisNexis
As organizations navigate the ups
and downs of a complex global economy, access
to reliable, relevant information can help them
compete more effectively. To paraphrase Maya
Angelou, “When you know better, you do better.”
Information professionals play an important role
in identifying and disseminating the business
insights companies need to manage risk and
make smarter, faster decisions.
The enterprise marketer's playbook: Building an integrated data strategy.
An integrated data strategy can help any business see customer journeys more clearly ― and then give customers more relevant ads and experiences that get results. So why doesn't everyone have such a strategy? We look at what sets the marketing leaders apart.
Let marketing data be your guide
If you've ever felt too swamped by data to find the customer insights you need, you're not alone. But there's a new and better approach to gaining deeper audience insights: building an integrated data strategy.
Read this report to learn how:
86% of senior executives agree that eliminating organizational silos is critical to expanding the use of data and analytics in decision-making.
75% of marketers agree that lack of education and training on data and analytics is the biggest barrier to more business decisions being made based on data insights.
Leading marketers are 59% more likely to use digital analytics to optimize the user experience in real time.
Similar to Harnessing big data for improved decision making (20)
Another great content/horrendous stock photo "presentation" from IT Business Edge about Big Data. (http://www.itbusinessedge.com/slideshows/big-data-eight-facts-and-eight-fictions.html)
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. SUCCESSFACTORS / WHITE PAPER
PERFORMANCE MANAGEMENT IN A SMALL-BUSINESS CULTURE
Harnessing the Power of Big
Data to Improve Business
Execution
From emails and videos to credit card transactions and CT scans, every day, trillions of bytes
of data are captured by everything from smartphones to sensors to satellites. Each year, the
amount of data being captured increases by a staggering 40 percent.1
These huge data sets
— sometimes called “big data” — present enterprises with significant new opportunities to
improve business execution.
Forward-thinking companies around the globe are discovering that analytics can transform big
data into valuable information to better track resources, increase predictive capabilities, and inform
business strategy. But did you know that big data can also be derived from your HR technology
— and that this HR-rich data directly affects every aspect of your business?
It’s true. Integrating data from your enterprise applications with data on your most valuable
resource — your people — allows you to tap into business-transforming analytics that improve
insight and enhance overall performance. So it’s perhaps no surprise that experts believe that any
effective enterprise data strategy must include integrated and interoperable data models.2
Too often that isn’t the case. Most human resources information systems (HRIS) are siloed, limiting
views of talent and resources, and making it difficult to form strategies for meeting immediate and
future business needs. Saddled with legacy systems, IT teams struggle to integrate and analyze
massive amounts of data.3
They also struggle to find a solution that will do these things in a way
that is scalable and flexible.
The reality is that today, integrating people and business data from other enterprise applications is
no longer a luxury — it’s a requirement. If you understand how to seamlessly bring this data
together, then analyze it with speed and accuracy, you can not only improve execution but also
control costs, conserve resources, improve strategy, and increase competitive advantage. As an
SAP company, SuccessFactors is uniquely suited to provide you with the expertise and technology
that bring together the data you need quickly and easily — and gain insights on demand.
1
McKinsey Global Institute. Big Data: The Next Frontier for Innovation, Competition, and Productivity. May 2011.
2
Ibid.
3
Ibid.
HOW BIG IS BIG DATA?
The total amount of data created and replicated in 2009 was 800 exabytes — enough to
fill a stack of DVDs reaching to the moon and back.
SOURCE: MCKINSEY GLOBAL INSTITUTE. BIG DATA: THE NEXT FRONTIER FOR INNOVATION, COMPETITION, AND PRODUCTIVITY. MAY 2011.
2
3. SUCCESSFACTORS / WHITE PAPER
PERFORMANCE MANAGEMENT IN A SMALL-BUSINESS CULTURE
The Business Impact of People
Your workforce — from how your people are trained and how they perform to how happy they are in
their jobs — impacts every aspect of your business. However, many organizations do not
understand that the data that you can glean from your workforce goes far beyond tactical HR
issues, such as recruitment and retention. As a result, HR technology and data are siloed in many
organizations.
When properly analyzed, people data can and should be used to inform decision making, drive
performance measures, and increase competitive advantage. Yet complete visibility not only
requires integration to other applications, it also calls for advanced analytical skills — a resource
most companies simply do not have. The United States alone faces a shortage of nearly 200,000
workers with deep analytical skills and an even greater shortage (1.5 million) of managers and
analysts who can analyze data and make decisions based on their findings.4
In the future, organizations must have the ability to bring together all of this data quickly and easily,
and to gain insights on demand.
Unleashing the Power of People Data
The need for deep analysis cannot be overstated. When used in conjunction with other enterprise
data, people data has virtually unlimited potential to improve business outcomes. Connecting your
people data with information from other enterprise systems can improve business execution and
accelerate real results.
When you link sophisticated analytics with a single source of reliable data, you can:
• Minimize risks by better preparing for change, such as a merger or major downsizing, by
modeling potential risks and how the organization would handle them.
• Achieve growth and expand into new markets by ensuring that the right mix of employees,
positions, and capabilities is in place.
• Gain valuable business insight into trends, customer demands, resource usage, and much more.
• Substantially improve decision making by operating with more insight, increasing productivity, and
cutting costs.
4
McKinsey Global Institute. Big Data: The Next Frontier for Innovation, Competition, and Productivity. May 2011.
WHAT’S THE VALUE OF DATA-DRIVEN DECISION MAKING?
Research from the Massachusetts Institute of Technology’s Sloan School of Management
found that large companies that adopted “data-driven decision making” achieved
productivity gains that were 5 to 6 percent higher than other factors could explain.”
SOURCE: LOHR, STEVE. THE NEW YORK TIMES. THE AGE OF BIG DATA. FEB. 11, 2012.
3
4. SUCCESSFACTORS / WHITE PAPER
PERFORMANCE MANAGEMENT IN A SMALL-BUSINESS CULTURE
Analytics lead to insight and improved business execution. A Harvard Business Review study found
that most business strategies deliver only 63 percent of their potential financial performance. One of
the biggest culprits for poor performance was inadequate or unavailable resources.5
Getting the
data you need today sets the stage before better execution tomorrow.
Using Data to Improve Business Execution
With so much business transformation made possible through the use of analytics, the days of
siloed legacy HR systems are numbered. Instead, successful companies are using today’s
advanced HR technology to drive business execution. HR-rich data can help you:
• Enhance productivity and performance. Linking employee data to areas like finance, CRM,
and compliance can help you determine which teams and functions are the most productive and
which ones need improvement. Analyzing variability in performance can help you understand root
causes and manage performance to higher levels.
For example, cable provider Comcast found that high turnover rates among customer service
representatives (CSRs) were having a negative impact on overall customer satisfaction. They
implemented a program to improve the retention of experienced CSRs and increased customer
satisfaction scores by 10 percent in only one year.6
Comparing your organization’s productivity against industry benchmarks can also lift performance
standards within your organization. Likewise, understanding the effectiveness of training programs
can also have a positive effect on job performance and competency across all areas of the business.
You can also use people data to identify your highest-performing employees, employees who
have the most potential, and those performing key roles that are hardest to fill — and could
potentially cause the biggest disruptions if vacated unexpectedly.
• Increase profitability. Integrating people data with other business-critical areas — such as
marketing, finance, and CRM — allows you to identify and prepare for market shifts and rapid
change. For instance, POS data can reveal customer buying trends and inventory levels, and
even reveal weaknesses in your supply chain. In the same way, people data can uncover gaps in
skills sets that you need in order to market and cross-sell products differently, driving you to alter
training programs accordingly.
People data can also reveal the costs of hiring and training new employees, your retention rates,
and the bottom-line impact of employee sick days, as well as how sick days impact the cost of
benefits — something every business struggles to control.
In retail, a knowledgeable salesperson can spell the difference between making a sale or not. At
Luxottica Retail, which operates optical stores globally, online training makes it easier to deliver
training to 38,000 employees in 6,200 stores. Employees can spend less time in the classroom
and more time with customers, even as they get valuable training.7
Equipped with on-demand
sales data, training employees about hot-selling products and sales techniques is easier than ever.
5
Mankins, Michael C. and Steele, Richard. Turning Great Strategy Into Great Performance. Harvard Business Review. July-August 2005.
6
SuccessFactors Case Study: Comcast. http://www.youtube.com/watch?v=9i5z6-5cle4
7
SuccessFactors Case Study: Luxottica Retail. http://www.successfactors.com/resources/download/luxottica-retail-case-study/
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5. SUCCESSFACTORS / WHITE PAPER
PERFORMANCE MANAGEMENT IN A SMALL-BUSINESS CULTURE
• Strengthen competitive advantage. In a world where specialized skills are often in high
demand, recruiting and training are expensive, and retention is a must, expertise and specializa-
tion can be invaluable in helping you improve quality and create a competitive niche.
That expertise often comes from on-the-job training, a significant investment in both corporate
time and money. But according to Bersin & Associates, only 18 percent of workforce training
programs raise skills from deficient to adequate.8
Do you know how well your training programs
are working? Tracking sales figures and linking that to your recruiting, training, and retention data
can give you answers that lead to action.
People data can also help you be more nimble in the marketplace. For instance, the merger of a
competitor could accelerate the need to deliver new products and services, expand into a new
market, or ramp up production — all of which requires specialized management expertise.
Analyzing existing skills sets allows you to adjust hiring and training programs to account for
changing business needs.
• Reduce risk. A volatile economic climate often leads to rapid change and increased risk to the
business. Linking finance, compliance, and people data can prepare you for the unexpected.
Bringing the data together can mitigate turnover among critical roles and top performers, and
reduce risk in other ways.
For example, what happens if you suddenly lose a key employee? Do you have a succession
plan? In the event of a sudden merger, would you have the right managerial skills in place to
effectively manage teams through the transition? Understanding skills gaps and key roles makes
it easier to align your workforce with your business goals.
Ergon Energy, a government-owned utility in Australia, had multiple levels of risk to navigate. Not
only did it face significant skills shortages for technical talent because of an aging workforce, it
also needed to prepare for a different regulatory environment that included retail competition.
Connecting all of its strategic data allowed Ergon to model different growth scenarios and even
forecast changes in supply and demand. As a result, the company was able to develop a 10-year
plan to manage a rapidly changing environment.
8
Bersin, Josh. Big Trends in Talent, HR Measurement and BigData: The Convergence of HR Measurement and BigData Is Here
Bersin & Associates. 2012. To purchase the report, visit http://www.bersin.com/Practice/Detail.aspx?id=15356
9
SuccessFactors Case Study: Ergon Energy. http://www.successfactors.com/resources/download/ergon-energy-success-story/
DATA CAN SHED LIGHT ON DANGEROUS ASSUMPTIONS
It’s hardly a secret that demand for nurses keeps increasing in the healthcare industry.
However, in the case of Aetna, the company assumed the shortfall in hiring was because
of staff retirements. Segment analyses told a different story. After close examination,
they found that first-year turnover was high, which disproportionately constrained
internal resources at a time when the external labor pool was also shrinking. As a result,
Aetna was able to develop a target programs to improve first-year retention.
SOURCE: SUCCESSFACTORS CASE STUDY: AETNA.
HTTP://WWW.SUCCESSFACTORS.COM/RESOURCES/DOWNLOAD/AETNA-SUCCESS-STORY/
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6. SUCCESSFACTORS / WHITE PAPER
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• Pave the way for innovation. As customer demands evolve, so must your products and
services. Do you have the talent in place to fuel needed research and development?
You can quickly determine this by following buying trends derived from your CRM, ERP, POS,
supply chain, and financial systems, then combining that information with your people data.
For a large global manufacturer like Nissan, having the right people in the right positions is a
challenge that transcends borders and time zones. Nissan needed sophisticated tools to track
employees in a database that allows for portability of talent — between different divisions within
the company and around the world. By integrating consistent talent processes with business
technology, Nissan has streamlined processes and increased the time it spends on strategy and
innovation from 20 percent to 80 percent.10
Whether your goals are increased performance, reduced risk, or a better competitive foothold,
solutions such as Workforce Analytics and Workforce Planning are specifically designed to help you
take control of business execution. Answering key questions about workforce challenges can
change your business. You can identify talent gaps, and then proactively take measures to decrease
your exposure in areas such as recruiting and succession planning. What’s more, SuccessFactors is
positioned to help you achieve these results with speed and accuracy.
The Need for Speed
The biggest problem with big data is that it is, well, big. Even though analyzing data of this
magnitude has become possible, that doesn’t necessarily mean it is fast. Depending on the
complexity of the data set, it could take days. Getting to the right information at the moment you
need it is one of the biggest challenges that business leaders face today.
Imagine you are a retailer. What if you could do cost and profitability analyses across millions of
records spanning three years, hundreds of thousands of employees, and thousands of locations in
fewer than than 5 seconds — that is, in real time — instead of in a few days? How would that
change the ways you engage with employees and managers? Fast, accurate analysis can help you
take performance measurement and execution to entirely new levels.11
That kind of speed is now possible. HANA, an analytic appliance from SAP that stores data in
memory (rather than on disk) enables near-real-time analytics, reducing processing speeds from
60,000 milliseconds to 17 milliseconds, an increase of 1,000 times (or faster).
As operational data is created, it is integrated with historical transaction and analytic data. HANA
can process both structured and unstructured data, including social networking and machine-
generated data, so enterprises can analyze data sets that are larger — up to hundreds of terabytes
— than what can be analyzed with traditional data warehousing technology.12
12
Kelly, Jeff. Speed the Key to SAP HANA’s “Fast Data” Approach to Analytics. SiliconANGLE. May 25, 2012. http://siliconangle.com/
blog/2011/05/25/speed-the-key-to-sap-hana%E2%80%99s-%E2%80%9Cfast-data%E2%80%9D-approach-to-analytics/
NOW IS THE TIME TO ACT
You have big data, but what are you going to do about it? Leaders of organizations
need to recognize the potential opportunity as well as the strategic threats that big
data represents, and should assess and then close any gaps between their current
IT capabilities and their data strategy and what is necessary to capture big data
opportunities relevant to their enterprise.
SOURCE: MCKINSEY GLOBAL INSTITUTE. BIG DATA: THE NEXT FRONTIER FOR INNOVATION, COMPETITION, AND PRODUCTIVITY. SEPTEMBER 2011.
6
7. As part of SuccessFactors Workforce Analytics and Workforce Planning solutions, HANA
accelerates speed to information. But that speed isn’t just about processing power. HANA is replete
with robust reporting and talent analytics features, including:
• Embedded, real-time dashboards that are configurable and optimized for the iPad, making
reports easier to access, even while on the go.
• An online report designer that allows users to build custom queries, reports, pivot tables, and
pivot charts on the entire data set from BizX apps. You can schedule automatic report distribution
and send personalized reports to thousands of users.
• Access to industry benchmarks, so you can compare talent metrics with companies of similar
sizes, industries, regions, etc.
• More than 2,000 prepackaged, best-practice talent metrics, trends, dashboards, and
reports to give HR managers, HR practitioners, and business managers a head start on talent
performance insight.
Armed with the ability to make better business decisions in real time, business leaders are finding
that big data doesn’t have to be big — or slow.
Conclusion
To improve business outcomes, your data should inform every strategic business decision, which
is why companies that are unprepared to integrate and analyze data across their enterprise will be
left behind.
Successful companies today are advancing their business by fully integrating HR technology with
other essential enterprise applications. SuccessFactors can help you do just that. With solutions
designed to integrate seamlessly with your enterprise applications, we can help you leverage
sophisticated analytics to improve business execution.
Our cloud-based solutions free IT to spend less time worrying about managing and maintaining
technology, and more time focusing on strategic initiatives that drive growth, productivity, and
innovation. Fast to deploy and easy to maintain, solutions like Workforce Planning and Workforce
Analytics — infused with real-time knowledge made possible by HANA — are designed to adapt to
your existing IT infrastructure, to flexibly scale as your needs change, and to configure to virtually any
enterprise application while keeping sensitive data secure. Perhaps best of all, because our solutions
are available as SaaS (Software-as-a-Service), management costs are predictable — and lower.
Are you prepared to make the most of your data? With more than 3,500 customers and 15 million
end users, SuccessFactors is ready to help. And as an SAP company, customers have the
assurance of knowing that we are better positioned than any provider to deliver a solution that is
flexible, scalable, and secure in the cloud. We have helped customers around the globe harness the
power of people data to drive business execution. Let’s get started today.
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8. SuccessFactors
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