000			04199cam a2200445 i 4500
001			on1128887787
003			OCoLC
005			20240925075418.0
008			191113s2020 maua b 001 0 eng
010			_a2019046714
020			_a9781633698987 _qpaperback
035			_a(OCoLC)1128887787
040			_aMH/DLC _beng _erda _cDLC _dOCLCO _dOCLCF _dYDX _dCHVBK _dOCLCO _dOCLCL _dSBI
042			_apcc
049			_aSBIM
050	0	0	_aHD30.28.S898.S773 2020
245	0	0	_aStrategic analytics.
300			_axvii, 169 pages : _billustrations ; _c22 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aInsights you need from Harvard Business Review
505	0		_aUnderstanding analytics basics: The five essential elements for succeeding with data -- _tand the costs of missing any / by Thomas C. Redman -- _tUnderstanding the types of data and how they're captured -- _tincrease your data literacy / by Hugo Bowne-Anderson -- _tThe right way to deploy predictive analytics -- _tfocus first on your team, then on technology / by Eric Siegel -- _tWhat great data analysts do -- _tand why every organization needs them / by Cassie Kozyrkov -- _tWhat data is and isn't good for -- _tnumbers rarely reveal the "why" / by Joel Shapiro -- _tBecoming an analytics-driven organization: Prioritize which data skills your company needs -- _tconsider time versus utility / by Chris Littlewood -- _tHow a German manufacturing company set up its analytics lab -- _tbest practices any company can follow / by Niklas Goby, Tobias Brandt, and Dirk Neumann -- _tCloud computing is helping smaller, newer firms compete -- _trenting computing power may level the playing field / by Nicholas Bloom and Nicola Pierri -- _tData science and the art of persuasion -- _tsolving data's last-mile problem / by Scott Berinato -- _tApplying data analytics: How Vineyard Vines uses analytics to win over customers -- _tby integrating behavioral data and predictive algorithms / by Dave Sutton -- _tHow to use employee data responsibly -- _tthree ways to maintain trust when using people analytics / by Ellyn Shook, Eva Sage-Gavin, and Susan Cantrell -- _tWhat AI-driven decision making looks like -- _tsometimes, humans need to get out of the way / by Eric Colson -- _tHow companies can use the data they collect to further the public good -- _tand why they benefit from doing so / by Edward L. Glaeser, Hyunjin Kim, and Michael Luca.
520	0		_a"Is your data strategy ready for the next wave of analytics? Data analytics offer an incredible opportunity to predict the future, engage with new technological advancements, and gain valuable insights about your business. But unless you're staying on top of the cutting edge of analytics, your company is wasting that potential--and your competitors will be gaining speed while you fall behind. These articles by experts and consultants will help you understand today's essential thinking about what data analytics are capable of now, how they will evolve, and how to adopt their use in your organization. Strategic Analytics: The Insights You Need from Harvard Business Review will help you kick off urgent conversations, focus on the right initiatives in your company, and capitalize on the opportunity of analytics."-- _cProvided by publisher.
530			_a2 _ub
650		0	_aBusiness planning.
650		0	_aQuantitative research.
650		0	_aStrategic planning _xComputer programs.
650		0	_aManagement _xStatistical methods.
650		0	_aManagement _xData processing.
650		6	_aRecherche quantitative.
650		6	_aGestion _xMethodes statistiques.
650		6	_aGestion _xInformatique.
658			_bBusiness Research and Data Analysis _cBUS5010-V-02
710	2		_aHarvard Business Review Press, _eissuing body.
776	0	8	_iOnline version: _aHarvard Business Review (Boston, Massachusetts), _tStrategic analytics _dBoston, Massachusetts : Harvard Business Review Press, 2020. _z9781633698994 _w(DLC) 2019046715
830		0	_aInsights you need from Harvard Business Review.
902			_a1 _bCynthia Snell _c122 _dElin Johnson
942			_cTXT _hHD30.28 _m2020. _2lcc _z31923002064885
999			_c104621 _d104621